com.youspot/youspot

Tools

• add_slack_reaction

  Add an emoji reaction (by name, e.g. 'eyes' or 'white_check_mark') to a Slack message.

  shallow
• agent_reply

  Read what an agent answered to a message_agent call. Returns status 'running' while it works, 'replied' with the reply text once it has answered, or 'failed'. Wait at least a minute between checks.

  shallow
• analyze_recent_posts

  The raw material for an engagement analysis of the user's most recent LinkedIn posts: per-post stats, a sample of the actual comments left on them (who said what), and the LinkedIn headlines of everyone who engaged. Use when they ask for an analysis of their recent posts, what people are saying about them, or who their audience is. From the returned data, cover: what's getting traction, one or two key insights from the commentary including its overall sentiment, and an audience breakdown (roles, seniority, industries) drawn from the headlines. When comments_synced is false the engagement sync has not run for them yet: analyze the stats alone and say the comment data is still syncing.

  shallow
• archive_gmail_message

  Archive one Gmail message — it leaves the inbox but stays in All Mail, fully recoverable. Use only when the user asked for the archive; confirm first if it's your own suggestion. Only works on mailboxes connected under a legacy modify grant — current connections are read-only and cannot change the mailbox; the tool says so if not.

  shallow
• ask_about_connections

  Ask a free-form question about the user's LinkedIn connections that the other tools can't express: aggregates and rankings ('which companies do I know the most people at?'), date ranges ('who did I connect with in 2023?'), location filters ('my connections in Boston'), or several conditions at once ('founders in New York I connected with this year'). Answered by generating a read-only SQL query, so it returns columns and rows rather than prose. Prefer search_connections for a simple name/company/title lookup — it is faster. Keep the question under 500 characters.

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• ask_about_hubspot_companies

  Query the user's HubSpot companies — the companies synced from the HubSpot portals they've connected. Use this for any question about their CRM companies: firmographics ('software companies with more than 100 employees'), lifecycle and pipeline ('companies with an open deal', 'how many customer accounts?'), location ('companies in Boston'), funding and size ('which companies raised money?', 'biggest companies by revenue'), or attribution. Answered by generating a read-only SQL query over the synced company table, so it returns columns and rows rather than prose — summarize the rows for the user, and say how many there were. If it reports no companies synced, tell them to run a company sync for their portal. Keep the question under 500 characters.

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• ask_about_hubspot_contacts

  Query the user's HubSpot contacts — the people synced from the HubSpot portals they've connected. Use this for any question about their CRM contacts: engagement filters ('show me people with more than 10 page views'), lifecycle and pipeline ('how many customers do I have?', 'leads with an open deal'), firmographics ('contacts at Google', 'people in Boston'), attribution ('which source brought the most contacts?'), email activity, deal amounts, lead scores, or form conversions. Answered by generating a read-only SQL query over the synced contact table, so it returns columns and rows rather than prose — summarize the rows for the user, and say how many there were. If it reports no contacts synced, tell them to import at /hubspot/import. Keep the question under 500 characters.

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• ask_about_invitations

  Ask a question about the user's LinkedIn invitations — the requests they sent and received. This is the only tool that can see invitations. Use it for questions like 'which invitations I sent were never accepted?', 'who invited me recently?', or 'how many requests did I send last month?'. Acceptance is inferred by checking whether the other person now appears among their connections. Note the LinkedIn export only covers recent and still-pending invitations, not lifetime history — say so when it matters. Returns columns and rows. Keep the question under 500 characters.

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• audit_brain

  What is clogging up the user's brain: how many objects they hold of each type, how much of it is a log of the machine working rather than anything they know, the people capture minted from a name that identifies nobody, the records held twice, and the documents saved more than once. Reads only. Emit the card it names and let the reader decide group by group; never write the findings out as a table yourself.

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• cancel_scheduled_text

  Cancel a text that was scheduled with send_text_to_user and has not been sent yet. Takes the task_id from the scheduling response or from list_scheduled_texts.

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• changelog_save_draft

  Save the day's changelog draft for an editor to review and publish. title is the headline; body_markdown is the post (sections New, Improved, Fixed; one sentence per item in the customer's words; each item line ends with its {#key} marker; no em or en dashes; never a provider or model name); items is one object per item with its key, headline, section, sources and demo spec. One draft per day; the tool refuses a second. Returns the admin link where the draft is edited and published.

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• changelog_sources

  What shipped on one calendar day (Eastern time), yesterday by default: the Linear issues completed that day that are not yet announced and not labelled no-changelog, and the pull requests merged to main that day, each with its [YOU-nn] issue when the title carries one and whether that issue is already announced. Pass day as YYYY-MM-DD to pick another day.

  shallow
• check_page_changes

  Check whether a public web page has changed since the last time this was called for it, and get the diff. Use for watching one page over time: a company's team or leadership page, a pricing page, a careers page — anything where the change is the news. The first call records a baseline and reports no change, which is normal. Pass your own agent id as `tag` so two watchers on the same page do not consume each other's changes. For the contents of a page use read_web_page; for the open web use web_search.

  shallow
• check_person_changes

  Check one person's LinkedIn profile and report what has changed since the last check — a new headline, a new company, a move, or going open to work. Takes a LinkedIn username or profile URL. Use for watching a named person over time; for what they have posted use search_linkedin_posts. The first check records a baseline and reports no changes, which is normal. Set fresh=true when running as a scheduled watcher: without it the answer can come from a cached copy up to 90 days old, which is no use for noticing a move.

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• choose_my_newsletters

  Record which publications the owner wants read into their brain, and which they do not. Only a sender listed here as allowed is ever read, so nothing enters the brain the owner has not agreed to. Pass the addresses exactly as find_my_newsletters returned them. Call it once with every decision rather than once per sender.

  shallow
• company_signals

  Recent news and hiring movement for companies the user already knows, several at once, split into what is new since the last check and what was already reported. Use for watching companies over time: what has happened at my clients, is anyone hiring, anything I should know before I reach out. When running on a schedule, report only the new items and stay silent when there are none. For one company in depth use research_company; for the open web use web_search.

  shallow
• connect_graph_objects

  Connect two objects in the user's graph with a directed edge — e.g. connect a file or note to a project, a person to a company, a web link to an event. Use the object_ids that create, search, or list returned. connection_type names the relationship ('part_of', 'works_at', 'related_to', …); connecting twice with the same type is a no-op, not an error. One name is not free-choice: when the user says somebody introduced or referred them to someone, the edge type is exactly 'introduced', running from the person who made the introduction to the person they introduced. That is the only spelling anything reads, so 'intro' or 'referral' records the fact and hides it.

  shallow
• create_brand_kit

  Create a brand kit by hand in the user's active space from what the user gave. Only name is required; colors, fonts and radius left out start from the YouSpot kit. Logos are uploaded on the kit's page. To import a brand from a website use extract_brand_kit instead. Returns the brand_kit_id.

  shallow
• create_calendar_event

  Create one new event on the user's Google Calendar — title (summary), start, and end are required; description and location are optional. Use only when the user asked for the event — it lands on their real calendar immediately. start/end are RFC3339 timestamps ('2026-08-25T19:00:00-04:00'). By default the event goes on the primary calendar; to use a named calendar, get its id from list_google_calendars and pass calendar_id. Attendees are deliberately not supported — Google would email them invites. If the result says the account needs reconnecting, link the user to /user/integrations/gmail.

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• create_gmail_draft

  Create a DRAFT email in the user's connected Gmail mailbox, addressed to anyone — 'draft an email to jane@acme.com about X'. Nothing is sent: the draft lands in Gmail's Drafts folder for the user to review, edit, and send themselves. Compose a specific subject and a plain-text body (no HTML or markdown) in the user's voice. Use this whenever the user wants an email written to someone else; send_email remains only for mailing the user their own address. Only works on mailboxes connected under a legacy modify grant — current connections are read-only and cannot create drafts; the tool says so if not.

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• create_graph_object

  Create a new object in the user's graph. Use when they ask to add something — a project, note, fact, web link, person, company, product, event, group, tag, or prompt. If an object of the same type and name already exists it is returned instead of duplicated; pass allow_duplicate=true only when the user confirms they want a second one. Returns the object with its object_id for follow-up connecting.

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• create_tracker

  Set up a standing search the user wants watched — 'track LinkedIn posts that mention hubspot', 'track tweets mentioning @dharmesh', 'watch acme.com/pricing for changes'. query is what to watch for; tracker_type says where to watch (LinkedIn posts unless they ask for tweets/X or a specific page URL — a URL to watch means web_page, with the URL in url and query as a short label for it). linkedin_post and twitter_search requests become a daily cloud agent that emails a digest of new posts; web_page creates a tracker in their brain that runs daily and emails changes, filtered by the prompt. Always give the user the returned page_url as a link — that page is where they review and manage it.

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• delete_graph_object

  Delete an object from the user's graph. Use only when the user explicitly asks to delete or remove a specific object — never to tidy up on your own initiative. The delete is soft: the object disappears from lists, search, and chat, but its data is retained and a restore is possible later. Identify the object by object_id (search_graph_objects returns it). Only objects the user owns can be deleted, and never their root user node. In chat, this tool does not delete directly — it returns instructions for showing the user a confirmation card, and the card performs the delete.

  shallow
• delete_graph_objects

  Delete EVERY object of one type from the user's graph, however many there are: what to reach for when they ask to clear out a whole category ('delete all my HubSpot contacts') rather than one record. Deleting one object is delete_graph_object instead. This delete is permanent, and at this scale it is the only kind that helps: a synced portal can be millions of records. Use only when the user explicitly asked for a category to go, never on your own initiative, and name one type per call (contacts and companies are two calls). In chat this tool deletes nothing: it counts the records and returns instructions for a confirmation card, and the user's click starts the deletion.

  shallow
• delete_selected_graph_objects

  Delete a given list of objects from the user's graph, up to 200 object_ids in one call. Use only when the user explicitly asked for these particular objects to go, never to tidy up on your own initiative. The delete is soft and reversible: the objects drop out of lists, search and chat, and restore_graph_objects with the returned deleted_ids brings them back. One object is delete_graph_object; every object of a type is delete_graph_objects. Only objects the user owns are deleted, never their root user node; the rest come back as skipped. Not available in the YouSpot chat, where the user ticks the rows in their lists instead.

  shallow
• disconnect_graph_objects

  Delete one connection between two objects in the user's graph — the edge from_object_id -> to_object_id of the given connection_type, nothing else; both objects stay. Use get_graph_object to see an object's connections and their types and directions first.

  shallow
• disconnect_integration

  Disconnect one connected account. Destructive and not undoable: disconnecting a HubSpot portal also deletes every record it synced. Never call this to check anything; call list_integrations for that. Only call it when the user has asked to disconnect, in their own words, naming what.

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• draft_cloud_agent

  In the YouSpot chat only: draft a standing errand the user asked for, so they can turn it on with one tap. Use this whenever they ask for something to happen on its own from now on: 'tell me when...', 'every morning...', 'notify me...', 'remind me each...', 'watch for...', 'let me know if...'. Never answer that you cannot set up a reminder, a watch or a recurring email; this is how you set one up. It creates nothing and turns nothing on, so it is safe to call as soon as the ask is clear. If the ask names a person for an email watch, look their address up first with search_graph_objects or search_connections and pass it as trigger.from; if two people match, ask which with the ask_user card instead of calling this. If they gave no address and none is on record, still draft it with trigger.from empty and say in your own words that it will watch the whole inbox. Pass the schedule or trigger fields only to override what the request plainly said; leave them out and the request is read for them.

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• draft_email_in_gmail

  Put a generated email (an artifact_id from generate_email) in the user's Gmail drafts, addressed to the recipients they named. Nothing is sent. The email has to be unlocked first: a watermarked draft is refused and the user unlocks it from the card. Only works on mailboxes connected under a legacy modify grant; the tool says so if not. Returns a link to the draft.

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• draft_my_planned_posts

  Write every post in this week's post plan as a draft, in the user's own voice, saved to their brain as a note per post and linked to the plan. Posts that already have a draft are left as they are. Use for 'write the posts in my plan', 'draft this week's posts', 'write them all'. For one post from finished work that is not on a plan, use the restate skill instead. Nothing is posted to LinkedIn: the user copies the draft and posts it. error no_plan means there is no plan this week, so offer to make one first. Link each draft as [subject](/graph/object/<object_id> "note") and say they can edit anything, then end with [See your week](/linkedin/manager), the page where they can read, copy and schedule each one.

  shallow
• extract_brand_kit

  Read a public website and save its brand (colors, fonts, radius and logo) as a new brand kit that needs the user's review. Costs 3 credits, charged only when the kit is saved. Takes up to about a minute. Do not call this again to retry. Returns the brand_kit_id.

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• find_companies

  Search for companies by describing them in plain English — the same engine behind the ProspectFinder app. Handles industry, size, location, funding stage and investors in one query: 'CRM software companies with more than 1,000 employees', 'Series A AI startups in Boston', 'YC-funded fintechs'. Returns name, domain, employee count and description per company. Use this for discovering companies out in the world; for companies/people the user already knows, use their graph and connection tools instead. Results can then be added to the user's graph with the graph tools if they ask. The result includes a result_id that chat surfaces can use to render the list as a live prospect_list card.

  shallow
• find_my_newsletters

  Look through the connected mailboxes for newsletters and list the publications sending them, with how many arrived and how many the owner opened. Reads no bodies and changes nothing: this is the question, not the answer. Each sender comes back with a `status` — 'undecided' means the owner has never said, 'allowed' means read it, 'blocked' means do not. Our guess at what each one is rides on `classification`: 'newsletter' for something written, 'promotion' for a retailer. The guess only sorts the list; the owner decides. Show them the undecided ones, most frequent first, say which look like promotions, and ask which they want read.

  shallow
• find_paths

  How two objects in the user's graph are connected: the shortest chain of real relationships between them, up to 3 hops, e.g. person -[worked_with]- person -[works_at]- company. Only deliberate relationships count — bulk-import and system-inferred edges are excluded, so a path is evidence. Returns the path as a list of hops, and an EMPTY list when there is no connection: report that honestly, never invent a path.

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• generate_email

  Render one free branded email draft in a brand kit and save it to the user's files. Nothing is sent. Drafts are limited to 20 per day. Templates: 'letter' takes preheader, signoff, footer_note; 'announcement' takes headline (required), preheader, cta_label, cta_url, signoff, footer_note; 'newsletter' takes issue_label, headline (required), preheader, cta_label, cta_url, signoff, footer_note; 'invitation' takes invite_label, event_name (required), when, where, preheader, cta_label, cta_url, signoff, footer_note; 'notification' takes status_label, headline (required), cta_label, cta_url, footer_note; 'onboarding' takes headline (required), preheader, cta_label, cta_url, signoff, footer_note; 'receipt' takes headline (required), order_label, order_date, cta_label, cta_url, footer_note. Write the body as markdown (paragraphs, lists, links, tables) or as blocks, never both. header 'band' paints the header in the brand color, 'plain' keeps it white; align is left or center; both default to the template's layout. Leave brand_kit_id out to use the space's default brand. The draft carries a YouSpot watermark until the user unlocks the clean email for 1 credit from the card, and Gmail drafting is refused until they do. Returns the artifact id; call draft_email_in_gmail with it once it is unlocked. Do not call this again to retry.

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• generate_image_background

  Generate a photo for 1 credit to go behind a social image, from a description of the scene. Only when the user asks for a photo, picture or background. Describe the scene, the light and where to leave empty space for the headline; never ask for text, words or logos in it. size is the canvas it will go on. Returns a file_id for generate_og_image's background_file_id.

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• generate_markdown

  Write one document in the user's brand and save it to their files: anything they want to read in chat rather than print or send, from a to-do list or a checklist to a plan, notes, a brief or a summary they asked to keep. Takes the markdown, an optional title (the first heading otherwise) and an optional brand_kit_id. The card renders the whole document in the brand, so never paste the markdown into the reply as well. Nothing renders to a file the user has to open: there is no watermark, nothing to unlock and nothing to pay. Use generate_pdf instead when they want a document to print, attach or send. Do not call this again to retry.

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• generate_og_image

  Render one free 1200x630 social image (Open Graph card) draft in a brand kit, with a small YouSpot watermark, and save it to the user's files. Drafts are limited to 20 per day. template_id 'simple' takes props label, title and description; 'blog' takes category, title, excerpt, author and meta. title is required. Leave brand_kit_id out to use the space's default brand. The user can unlock the clean image for 1 credit from the card; you cannot unlock it. Do not call this again to retry. Returns the artifact id.

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• generate_pdf

  Render one free branded PDF draft in a brand kit and save it to the user's files. Drafts are limited to 20 per day. Templates: 'invoice' takes items of description, quantity, unit_price, up to 30 plus props invoice_number, issued_on, due_on, bill_to, currency, tax_rate, notes; 'statement' takes items of description, date, amount, up to 30 plus props account, account_of, period_start, period_end, currency, opening_balance, notes; 'report' takes markdown or blocks plus props subtitle, author, dated; 'letter' takes markdown or blocks plus props recipient, dated, signoff; 'proposal' takes markdown or blocks plus props client, valid_until, prepared_by. Line item fields are all strings, and every date is YYYY-MM-DD. Write a document as markdown (headings, lists, tables) or as blocks, never both, and its first heading becomes the title unless you pass a title. Leave brand_kit_id out to use the space's default brand. Returns the artifact id and how many pages it came to. The draft carries a YouSpot watermark until the user unlocks the clean PDF for 1 credit from the card; you cannot unlock it. Do not call this again to retry.

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• generate_substack_post

  Draft one Substack post and save it to the user's files, ready to paste into their Substack editor. Nothing is published and nothing is sent. Drafts are limited to 20 per day. Templates: 'post' takes signoff; 'digest' takes intro, signoff. Write the body as markdown (paragraphs, lists, links) or as blocks, never both. The title and subtitle are the post's own headline and standfirst. audience is everyone, paid or founding. The draft carries a YouSpot line until the user unlocks the clean post for 1 credit from the card, and copying is refused until they do. Do not call this again to retry.

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• generate_view

  Save a view the user wants to keep: a page in the view language that renders with live data, like a dashboard, a Markdown document, a feed of posts or a page of generated emails and images. Takes the source, the spec_version it was written against, an optional title and optional state. saved_template_id starts from a view template saved earlier; anything you pass replaces its value. Views are free: no watermark and nothing to unlock. Returns the artifact_id.

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• get_artifact

  Read one generated social image, email or PDF by artifact_id: its template, brand, status and, for the user's own drafts, the inputs it was made from, so an edit can call the generator again with them changed.

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• get_brand_kit

  Read one brand kit with its colors, fonts, radius and domain, whether it is the space default and whether it still needs the user's review. Call it when the user asks about one brand's details or before editing a kit.

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• get_calendar_events

  List events from the user's connected Google Calendar, ordered by start time — summary, start/end, location, organizer, attendees and their RSVP status, and a meeting link when there is one. With no time range it returns upcoming events from now. `time_min` and `time_max` are RFC3339 timestamps ('2026-08-19T00:00:00Z'), so 'what's on my calendar tomorrow' is time_min/time_max spanning that day; past ranges work too. `query` free-text matches event titles, descriptions, and attendees. For 'how many meetings…' questions over long ranges (a quarter, a year), set count_only=true — it sweeps the whole range and returns the total plus a per-month breakdown instead of the events themselves, so a 12-month count is one call. By default this reads the primary calendar; to read a named calendar ('my Family calendar'), first get its id from list_google_calendars, then pass calendar_id. If the result says no Google account is connected (or the account lacks calendar access), show the user the message and link them to /user/integrations/gmail.

  shallow
• get_connection_details

  Get the full profile for one of the user's LinkedIn connections: work history, education, skills, and their About summary. Use this after search_connections when you need depth on a specific person. Identify them by name, or by linkedin_url for an exact match. A found:false response carries the user's imported-connection count: if no_imported_data is set, nothing was searched, so report the missing import rather than a missing person.

  shallow
• get_connections_summary

  Overview of the user's imported LinkedIn data: how many connections, invitations and messages they have, when it was last imported, and the companies they know the most people at. Use this for questions about the shape of their network as a whole, or how much data is loaded.

  shallow
• get_domain_info

  Look up the public registration (WHOIS) record for a website domain: who registered it, which registrar holds it, when it was created and last updated, when it expires, its nameservers, and its registry status codes. Use this ONLY when the user explicitly asks about the domain/WHOIS/DNS itself: 'who owns stripe.com?', 'when does our domain expire?', 'how old is this domain?', 'is this domain registered?'. Never call it for general questions about a company — this is public registrar data about a domain on the internet; it is not the user's own account data, and it says nothing about the company behind the domain. Registrant details are often masked by a privacy service, in which case the registrant fields name the proxy rather than the real owner; say so instead of presenting the proxy as the owner.

  shallow
• get_domain_keywords

  The search keywords a website is buying ads on (paid, PPC, AdWords, Google Ads) and the ones it ranks for organically, with monthly search volume, cost per click, position, landing URL and share of the site's search traffic, plus domain totals: paid keyword count, paid traffic and estimated monthly ad spend, and the organic equivalents. Use this when the user asks what keywords a company is buying or bidding on, what it spends on search ads, what it ranks for, or wants to compare competitors' search strategies. Takes a domain (preferred) or a company name. US search data only.

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• get_domain_value

  Estimate what a domain name is worth (the /domainvalue appraisal): an estimated market value in dollars with the signals behind it — comparable sales, marketplace listings, an appraisal model, SEO data. Use when the user asks what a domain is worth, whether one is a good buy, or to compare domain values. A fresh appraisal can take up to a minute; repeat lookups within 48 hours are cached and instant. Include the report_url in your reply so the user can open the full report.

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• get_gmail_message

  Fetch one Gmail message by its id from the user's connected mailbox, including the full plain-text body (rare header-only connections get headers and the snippet instead). Use this to read a message found via search_gmail_messages (which returns ids and snippets only), or when a triggering event hands you a Gmail message_id to analyze.

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• get_granola_note

  One Granola meeting in full: the summary Granola wrote (Markdown), who attended, when, the space, a link to Granola, and the start of the transcript. `note` is an object id from get_granola_notes, a Granola note id, or a title. Pass `transcript` true for the transcript rather than the summary when the user asks what exactly was said.

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• get_granola_notes

  The user's Granola meeting notes already synced into their brain, newest first: title, when the meeting was, who attended, the space, and a link. `days` bounds how far back (default 30); `query` keeps notes whose title, summary or attendees mention a word or name; `attendee` keeps meetings with that person. Fast, no Granola call. Follow up with get_granola_note for the summary and transcript of one meeting.

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• get_granola_status

  Whether Granola is connected and how the sync is doing: the account, the shared spaces the key can see, when it last synced, and how many notes are in the brain. Use it when a user asks why a meeting is missing or whether Granola is set up.

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• get_graph_object

  Get one object from the user's graph, with the objects connected to it (its edges, e.g. a person's spaces, a note's subject). Identify it by object_id (exact, preferred — search and list return it) or by name. Use this when the user asks about a specific thing in their graph, or to follow a connection you found on another object.

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• get_hubspot_summary

  Overview of the user's synced HubSpot data: which portals they have connected, how many contacts and companies came from each, and when each was last synced. Use this for questions about how much HubSpot data they have, which portals are connected, or whether their data is up to date — and to check they have any data before promising an answer. For questions about the records themselves, use ask_about_hubspot_contacts or ask_about_hubspot_companies.

  shallow
• get_integration_connect_url

  The URL that starts connecting one integration, for surfaces that cannot render a card (Slack, SMS, email). In chat, show the integrations_list card instead. Never claim to have connected anything: only the user can grant it, in their browser.

  shallow
• get_linkedin_conversation

  Read the user's LinkedIn message history (DMs) with one person, from their imported LinkedIn export: every conversation that person is in, oldest first, with who sent each message and its full text. Use for 'what did I message Sander?', 'did she ever reply?', 'show me my LinkedIn thread with Tom' and before drafting a follow-up to someone the user has messaged. Pass a name or a LinkedIn profile URL. If the name matches several people it returns candidates to choose from.

  shallow
• get_messages_summary

  Overview of the user's imported LinkedIn messages (DMs): how many messages and conversations they have, the date range covered, and how many they sent versus received. Use for 'how many messages do I have?' and questions about the shape of their message history.

  shallow
• get_my_bookmarks

  The posts the user bookmarked on X (Twitter), newest first — author @handle, text, date, engagement, and link, plus an author_counts rollup of how often each author appears across ALL their bookmarks (use it directly for questions like 'whose posts do I bookmark most?'). Reads the synced archive; bookmarks sync daily for accounts that granted bookmark access. `query` filters bookmark text, `author` narrows to one @handle. If it reports nothing synced, the account may need reconnecting at /user/integrations/twitter to grant bookmark access.

  shallow
• get_my_linkedin_posts

  The user's own LinkedIn posts with engagement numbers (reactions, likes, comments, shares): newest first by default, their earliest with sort='oldest', or their best-performing with sort='top'. sort='top' is what answers 'my top 10 posts', 'my best posts' and 'what performed well'. Answer those from here rather than from linkedin_analytics, which needs an OAuth grant this user may not have given. The response always includes total_posts_stored, so this also answers 'how many posts do I have?' and 'what was my first post?'. Use it for questions about their posting activity and performance — 'what did I post last week?', 'what's the average number of likes on my last 5 posts?', 'which recent post got the most comments?'. Compute averages and comparisons from the returned rows. like_count is the thumbs-up reaction alone; total_reaction_count is all reaction types combined. Pages: when has_more is true, call again with offset set to the next_offset from the response to continue through their history.

  shallow
• get_my_plan

  The user's current YouSpot plan and credit balance, plus which plan they could move to. Call it before answering anything about pricing, plans, upgrading, credits or limits (brain cap, mailboxes, model). The response names the upgrade_plan value to emit; the card that renders from it does the purchase, so never say a payment happened.

  shallow
• get_my_tweets

  The user's own tweets, newest first, from their connected X (Twitter) accounts — text, engagement metrics (likes, replies, retweets, impressions), date, and link. Reads the synced archive, so it's fast; a brand-new connection may not have synced yet. `query` filters tweet text. If it reports no account connected, tell the user to connect one at /user/integrations/twitter.

  shallow
• get_obsidian_note

  Read one note from the user's Obsidian vault in full: its markdown, frontmatter, tags, the notes and brain objects its wikilinks point at, and the notes that link back to it. Identify it by object_id (from a search), by vault path ('Projects/Ada.md'), or by title. Use this whenever a search result looks like the answer — the search returns an excerpt, this returns the note. Follow the backlinks when the user asks how something connects to the rest of their thinking.

  shallow
• get_slack_thread

  The saved messages of one Slack thread, oldest first: the parent and every reply the brain holds. Only threads from channels the user switched on are stored; an empty result means the thread was not captured, and the fix is enabling that channel on /user/integrations/slack.

  shallow
• get_substack_post_stats

  Fresh stats for one Substack post, read from Substack right now and stored on the post: opens, clicks, views, recipients, new free and paid subscribers, estimated revenue. `url_slug` is the part of the post URL after /p/; get_substack_posts lists them.

  shallow
• get_substack_posts

  The user's Substack posts with the stats Substack reports for each: opens, clicks, views, recipients and the free and paid subscribers the post brought. Newest first, from the last sync. `query` filters titles, `since` (YYYY-MM-DD) drops older posts, `type` narrows to newsletter, podcast or thread. If it reports nothing synced, point the user at /user/integrations/substack rather than guessing.

  shallow
• get_substack_subscriber_counts

  How the user's Substack publication is growing: daily subscriber totals by plan over the last 7, 30, 90 or 365 days, with the change over the window. Reads the last sync. Use it for 'how many subscribers', 'how is my Substack growing' and 'paid subscribers this month'.

  shallow
• get_substack_subscribers

  The user's Substack subscribers, as the contacts they were imported into: name, email, plan (free, paid, founding, comp, gift), status (active, inactive, lapsed) and when they subscribed. Reads the last import, so it is fast. `status` defaults to active; pass 'lapsed' for who dropped off the latest export, or 'any'. `plan` narrows to one plan. If it reports nothing imported, point the user at /user/integrations/substack rather than guessing.

  shallow
• get_twitter_following

  Accounts the user follows on X (Twitter), from the synced follow graph — name, @handle, and bio. `query` filters by name, handle, or bio text ('who do I follow in AI?'). Reads the last sync, so a just-followed account may be missing; total_followed is the synced total. If it reports no account connected, tell the user to connect one at /user/integrations/twitter.

  shallow
• get_twitter_profile

  Live profile stats for the user's connected X (Twitter) accounts — name, @handle, follower count, following count, and total tweets, fresh from the X API. If it reports no account connected, tell the user to connect one at /user/integrations/twitter.

  shallow
• import_contacts_from_file

  Import every contact or company from a file the user uploaded — a CSV or spreadsheet export, a .vcf of contacts, or a zip. Use this whenever they want more than a couple of records created from a file: it reads the whole file at once, so never read a contact list with read_file and create the records one at a time. Find the file first with search_graph_objects (type 'file') and pass its object_id, or pass part of the filename as name. Pass a description of what the file holds when the user gave one — it is what tells the column mapper that 'Ref' is a phone number.

  shallow
• import_substack_subscribers

  Import a Substack subscriber export the user uploaded (the CSV from their publication's Subscribers page). Every row becomes or matches a contact tagged 'Substack subscriber' with plan and status. Find the file with search_graph_objects (type 'file') and pass its object_id, or part of the filename as name. `publication` is the publication's subdomain (the part before .substack.com); ask if you do not know it.

  shallow
• intake_get_email

  Read one internal email that arrived at tickets@, by the intake_id named in the triggering event. Returns who wrote it, the subject, the body with quoted history removed (a forwarded message keeps the forwarded part, which is the evidence), attachment links already stored in Linear, how it arrived, and earlier emails from the same person in the last 30 days with what became of them. `arrived_as` tells you whether the noise gate applies: a message sent to the tickets address directly is always a ticket request; a copy from the team group may be a heads-up or noise.

  shallow
• intake_record_decision

  Record what became of an intake email when nothing goes to Linear: `skipped_fyi` for a real message that is not work (a heads-up, a thank-you, a status note, a receipt), `skipped_noise` for automated mail that slipped through, `needs_review` when you cannot decide or a Linear tool kept failing. Give a one-line reason a teammate can read on the admin page. Filing and commenting are recorded by their own tools; never call this for an email you filed.

  shallow
• intake_reply

  Answer the teammate who sent an email to the tickets address directly, threaded onto their message: one or two plain sentences naming the issue you filed or added their email to, with its link. Copies from the team group never get a reply, because nobody asked; the tool refuses those. One reply per email.

  shallow
• job_changes

  People in the user's network who have moved to a different company since we last looked, newest first, with where they were and where they are now. Use when they ask who has changed jobs, who has moved recently, whether anything has changed at their contacts, or who is worth congratulating. Also the read behind a scheduled watcher: on a run with nothing new it says so and there is nothing to report. Reports a change of employer only, so a rewritten job title at the same company does not appear. NOT a list of who to contact, NOT the history with one person, NOT news about a company.

  shallow
• linear_comment_on_issue

  The email behind intake_id is the same work an existing issue already tracks: add its new evidence to that issue as a comment, attributed to the person who wrote in, and link the email to the issue. Records the email as linked; do not also create an issue for it.

  shallow
• linear_create_issue

  File the email behind intake_id as a new Linear issue. You write the ticket in the house fields: title (specific, imperative, under 80 chars), category, problem (2-4 sentences: who hits it, when, what it costs), evidence (what the email said, quoted and attributed), acceptance_criteria (2-5 testable statements), an optional project and up to two area_labels from linear_routing_catalog, and confident (false when the email is too thin for real criteria). The tool assembles the body, sets the state, the category label and from-email, attaches the email, and refuses a second filing for the same intake_id. Returns the identifier and url.

  shallow
• linear_get_issue

  One issue by identifier (YOU-142): title, description, state, labels, project and url. Use it to judge whether a search candidate is the same work as the email in front of you.

  shallow
• linear_relate_issues

  Mark two issues as related (or one as a duplicate of the other) so triage sees them together. Use `related` when you created an issue that looks close to an existing one but is not the same work.

  shallow
• linear_routing_catalog

  The open Linear projects and the area labels an issue may carry, with their descriptions, plus the rules: the category label (Bug, Feature, Improvement; a question gets none) and the from-email provenance are set for you; you choose at most one project and up to two area labels, copying names exactly, and null or none is the common right answer. Call it once per run and keep the result.

  shallow
• linear_search_issues

  Find issues that may already track the same work. Pass the ticket title you would write; pass intake_id too and the email's subject is searched as well. Returns up to eight candidates with identifier, state, labels and url. Read the best one or two with linear_get_issue before deciding whether this is the same work.

  shallow
• linkedin_analytics

  The user's LinkedIn post analytics from LinkedIn's own API (their connected account) — impressions, unique members reached, reactions, comments, and reshares. Use for questions like 'how many impressions did I get last month?' or 'how are my posts performing?'. Omit dates for lifetime totals; pass start_date/end_date for a window; set daily=true (with one specific metric) for a per-day series to describe trends. Numbers are live from LinkedIn, unlike get_my_linkedin_posts whose per-post counts come from a periodic sync.

  shallow
• linkedin_follower_history

  The user's own LinkedIn follower count over time, from readings we record about twice a day. Use it for every follower question: 'how many followers do I have?', 'how many did I gain this week?', 'how has my follower count changed since June?'. Returns the latest count, the count at the start of the window, the change, and a series with one point per day (per week for windows over 90 days). linkedin_analytics has no follower metric, so never say follower growth is unavailable without calling this first.

  shallow
• list_artifacts

  List the social images, emails and PDFs generated in the user's active space, newest first, up to 50: the artifact_id, kind, title, status and brand. kind narrows it to one kind. Call it when the user asks what they have generated or refers to an earlier one.

  shallow
• list_brand_kits

  List the brand kits in the user's active space: the name, domain, primary color, whether it was extracted from a website or entered by hand, whether it still needs their review, and which one artifacts render in when no kit is named. Call this before generating a social image, email or PDF for a brand other than the default, and when the user asks which brands they have set up. Returns fallback_if_omitted, which says what a generator uses when brand_kit_id is left out: the space default, the oldest kit, or the built-in YouSpot kit.

  shallow
• list_duplicate_suggestions

  List pairs of contacts in the user's graph that look like the same person, as found by the duplicate scan. status 'to_review' (default) is the pairs nobody has answered yet; 'linked' is the pairs the user said are the same person, each marked merged or not. Read-only. To merge a linked pair, call merge_graph_objects with preview=true first, then let the user confirm.

  shallow
• list_gmail_labels

  List the labels in the user's connected Gmail mailboxes — system labels (INBOX, STARRED, ...) and the user's own labels, with their ids. Use it when the user refers to one of their labels by name.

  shallow
• list_google_calendars

  List the calendars in the user's connected Google account(s) — name, id, whether it's the primary, and the user's access role. Use it to find a named calendar ('Family', 'Content schedule') before reading its events with get_calendar_events(calendar_id=…). If it says the account needs reconnecting, link the user to /user/integrations/gmail.

  shallow
• list_graph_objects

  List objects in the user's graph, newest first, with counts by type. The graph is their personal CRM's object store: person, company, hubspot_contact, linkedin_connection, file, fact, web_link, note, connected spaces, and more. Filter by type to browse one kind ('what files do I have?', 'list my facts'), or omit it to see what the graph holds overall. For finding something by name, prefer search_graph_objects.

  shallow
• list_integrations

  What the user has connected, and what they could connect. Returns every integration available to this account with `connected` true/false, the accounts behind it, the tools it unlocks, and the URL to connect or manage it. Call this BEFORE telling anyone to connect anything, and before saying a source is unavailable: guessing is how the assistant has told people to connect accounts they already had. An integration missing from the list is not offered to this user at all, so do not suggest it. `suggested` is what is worth connecting next, best first, each with the payoff in the user's terms: use it when asked what would help, and lead with the first one rather than listing the shelf. Connecting is a browser grant: hand the user the URL, never claim to have done it.

  shallow
• list_obsidian_notes

  Browse the user's synced Obsidian notes without a search term — most recently changed first, optionally within one vault, one folder, or one tag. Use it to answer what a folder holds, what they have written lately, or to show them what came across. When they are looking for a specific thing, search_obsidian_notes is the better tool.

  shallow
• list_obsidian_vaults

  List the Obsidian vaults the user has synced into their Second Brain: note counts, the folders each vault holds, its most-used tags, and when it last synced. Call this before answering anything about their Obsidian setup — whether a vault is connected, how much of it is here, what it contains at the top level — rather than assuming either way. Returns an empty list with setup instructions when no vault is synced yet.

  shallow
• list_scheduled_texts

  List the texts scheduled to be sent to the user's own phone that have not gone out yet, with the task_id needed to cancel each one.

  shallow
• list_slack_channels

  The Slack channels and DMs the user's brain knows about, per connected workspace, with whether each one is being saved (ingest) and how many messages are stored. Use it to resolve a channel name to its id before searching or posting.

  shallow
• list_templates

  List the templates the user has saved from earlier drafts, newest first: the saved_template_id, name, kind and which manifest template it was made from. kind narrows it to one kind. Pass a saved_template_id to a generator as saved_template_id to generate from it again.

  shallow
• lookup_substack_subscriber

  Whether one email address subscribes to the user's Substack, read from Substack right now. A hit stamps the plan and status onto the matching contact; with `create` true a hit also becomes a new contact when nobody holds the address yet. Use it for 'is x@y.com a subscriber?'.

  shallow
• match_my_network

  Given the author names from a page of posts, say which of them this user already knows. Ask in one call with every name, not one at a time. Each answer carries `standing`: 'dormant' means they know them and the correspondence stopped, which is the strongest reason to appear under a post; 'known' means they are still in touch; 'stranger' means they are not connected. Rank dormant first, known second, and keep a stranger only when the subject is squarely the user's own. `last_spoke` and `messages_exchanged` are there so you can say why this person is worth the reply.

  shallow
• merge_graph_objects

  Merge two duplicate records in the user's graph into one — person or company only. Every connection moves from the duplicate onto the kept record, fields the kept record lacks are copied over (never overwritten), a merged_from audit marker is appended, and the duplicate is deleted. This is destructive and cannot be undone: ALWAYS show the user both records side by side and get an explicit yes before calling. keep_id survives; merge_id is deleted.

  shallow
• message_agent

  Send a message to one of the user's own agents by its handle (the name after the @ on its page) and start a run with it. Use this when the user asks you to hand something to a named agent: '@research, what changed at Acme?'. It returns at once with a trace_id; the agent's answer takes a minute or more, so read it later with agent_reply. Pass conversation_id to keep the exchange in one thread.

  shallow
• mutual_connections

  The objects in the user's graph directly connected to BOTH of two given objects — mutual contacts between two people, shared people between two companies. Only deliberate relationships count (bulk-import and system-inferred edges are excluded). Returns an empty list when there are none — report that honestly.

  shallow
• my_linkedin_week

  How this week is going on LinkedIn against the user's own post plan: the plan's subjects and whether each has a draft, what they posted this week and which plan subject each post was, the people they already know who reacted or commented (dormant first), and whether a nudge is due on Thursday. Use for 'how's my LinkedIn week going', 'did I post what I planned', 'who engaged with my post', 'who saw my post'. It never names strangers and has no impressions or follower counts; do not offer those. When plan is null, there is no plan for this week: offer to make one (the post-plan skill). When a subject has a draft_id, link it as [the draft](/graph/object/<draft_id> "note"). When plan is set, end with [See your week](/linkedin/manager), the page with the plan, its drafts, what went up and who noticed. switch says whether the daily LinkedIn manager is on, paused or off.

  shallow
• my_topics

  Work out what this user can speak to with authority, from what they have published, who is in their network, what they have been reading, and their profile — in that order of weight. Use this instead of asking them for keywords: they should never have to type a search query. Returns topics each carrying the source it came from and a short reason, plus `sentence`, one line naming what was picked and why, which you must show the user before anything you found. When `enough_to_go_on` is false there was too little to read and you should say so plainly and ask them what they care about, once — never guess.

  shallow
• parse_invoice_pdf

  Read an invoice PDF the user uploaded and return its fields: supplier, invoice number, dates, currency, subtotal, tax, total, PO number, payment terms, and every line item. Use it whenever someone asks what an invoice says, what they are being charged for, whether a bill adds up, or wants an invoice turned into data. Two parts of the result matter more than the fields. `unreadable` names what could not be read off the document — those are null, not guessed, and you must not fill them in yourself. `checks` lists where the document disagrees with itself: lines that do not sum to the subtotal, a total that is not subtotal plus tax, a quantity times a price that is not the line amount. Report every check to the user in plain language; they are the reason to read an invoice with a tool rather than an eye. Find the file first with search_graph_objects (type 'file') and pass its object_id, or pass part of the filename as name.

  shallow
• plan_generation

  Work out what generating would use, rendering nothing and spending no draft or credit. Give it the kind (og_image, email or pdf) and whatever the user has said so far; it answers with the template it would use and that template's fields with their defaults, which required fields are still missing, the brand kit it would resolve to and the other kits with their ids, the page, orientation and footer a PDF would take from the kit, the templates the user has saved, the free drafts left, the unlock cost, and ready. Call it before generate_og_image, generate_email or generate_pdf so the one question you ask is the one that changes the result.

  shallow
• purge_graph_object

  Permanently delete one object from the user's graph, along with every connection touching it. Hard delete, no undo — confirm with the user before calling, and only when they asked for the deletion. Prefer delete_graph_object, which is reversible and asks the user to confirm on a card; use this one only when they have said they want the data gone. To remove a single connection and keep both objects, use disconnect_graph_objects instead.

  shallow
• query_graph_objects

  Read back objects a skill wrote earlier, filtered precisely. Use this when you need to know whether something is already recorded rather than to find something by name: has this engagement already been flagged, was this client surfaced today, is there a plan for this week. Filters on type, on the source that wrote the row, on text within the name or description, and on a created-at window in days. Sorts newest, oldest or by name, and pages with offset. For a keyword or semantic hunt across the graph use search_graph_objects; for browsing a whole type use list_graph_objects.

  shallow
• quiet_contacts

  People the user has not written to in a while, quietest first, with the date of the last thing they sent. Use when a skill needs to know who has gone quiet rather than to rank who is worth contacting: which clients have drifted, who is overdue a note, has anyone been silent since a given point. Judged on sent mail, so it measures what the user did rather than what arrived. `days` sets the line; the default is six months, which is the corpus's dormancy line rather than a tuned one.

  shallow
• read_artifact

  Return a generated item itself, for showing it where a YouSpot link cannot be opened: a social image comes back as the PNG, a PDF as an image of each page, an email, document or Substack post as its text. Takes an artifact_id from a generator or list_artifacts. A draft comes back watermarked; the user unlocks the clean copy for a credit.

  shallow
• read_file

  Read the content of a file the user uploaded — use this when the answer may live in a document in their Second Brain: schedules, itineraries, contracts, exports, scans. PDFs and images are returned as the actual document, so tables and scanned pages read correctly. Find the file first with search_graph_objects (type 'file') and pass its object_id, or pass part of the filename as name.

  shallow
• read_my_newsletters

  Read every new issue from the allowed publications into the brain, whole, so they can answer questions later. Returns what landed: `created` is new issues, `updated` is ones whose text changed, `unchanged` is ones already held, which is the normal case for a second run in a day. With no allowed sender it reads nothing and says so, which means the owner has not chosen yet — call find_my_newsletters and ask. `issues` names what arrived, newest first, so the summary can be written from it without another call.

  shallow
• read_web_page

  Fetch and read the content of one public web page by URL — use when the user asks what a page or article says, or you need to read a prospect's or company's own site before a conversation. Reads the page as it renders in a real browser, so it works on JavaScript sites. Returns the page's readable text. Pass save=true to also keep the page in the user's graph as a web_link (searchable later); default is a one-off read that is not stored. Cannot read LinkedIn, social, or any sign-in-gated page — those are captured through the browser extension, and this tool says so rather than trying. Not for researching a company in general (that is research_company) or reading a file the user uploaded (that is read_file).

  shallow
• record_interaction

  Record one dated touchpoint with someone in the user's graph — an email exchanged, a call, a meeting, a LinkedIn touch, or a manually noted contact — so 'when did I last talk to them?' has an answer. Creates an interaction object connected to the person it happened with; get with_object_id from search_graph_objects. occurred_at is ISO 8601 ('2026-08-28T15:00:00Z') and may be in the future ('we're meeting next Tuesday'). direction is from the user's point of view: inbound means they reached out to the user.

  shallow
• referral_paths

  Who introduced the people in the user's graph, aggregated per introducer, so a skill can see which relationships actually produce work rather than which are warm. Returns each introducer with the people they introduced and how many of those became clients. Use for 'which relationships turn into work', 'who sends me business', 'what do my best clients have in common'. NOT a route to one stranger, which is find_paths, and not a warmth ranking, which is who has gone quiet.

  shallow
• research_company

  Research one specific company in depth — the same engine behind the CompanyResearch.ai app. Takes a website domain (preferred) or a company name, and returns a profile: description, industry, size, revenue, funding history, founders, competitors, recent news, and answers to the user's saved research questions. Use this when the user asks to research, analyze, or get a briefing on a specific company. For discovering many companies by criteria, use find_companies instead; for a quick identity card, company_card markup is enough. The first run on an uncached company can take a while — that is normal.

  shallow
• restore_graph_objects

  Bring back objects the user deleted, up to 200 object_ids in one call: the undo for delete_graph_object and delete_selected_graph_objects. Only the user's own deleted objects come back. A record that was merged into another is not restored here; unmerge_graph_objects undoes a merge. Permanently purged objects are gone and cannot be restored.

  shallow
• save_as_template

  Save a generated social image, email or PDF as a template in the user's Second Brain, so the same inputs can be generated again from the generator or from chat. Takes the artifact_id a generator returned and a short name the user would recognise. Only the author's own draft can be saved. Returns the saved_template_id.

  shallow
• save_file_from_url

  Download a file from a public http(s) URL and store it in the user's Second Brain as a file object — use when the user shares a direct link to a PDF, image, spreadsheet, or other file and asks to save, download, or keep it. The saved file shows up with their uploads and can be read afterwards with read_file. Not for web pages (that is read_web_page with save=true) and not for files behind a sign-in. Files over 50MB are refused.

  shallow
• search_connections

  Search the user's own LinkedIn connections by name, company, or job title. Use this to answer questions like 'who do I know at Stripe?', 'which of my connections are founders?', or to look someone up by name. Returns matching people with their company, title, headline and location. Omit all filters to list the most recent connections. On a miss the response also reports how many connections the user has imported at all: if no_imported_data is set, their connections are simply not loaded — say that, and never conclude from an empty result that they don't know the person.

  shallow
• search_gmail_messages

  Search the user's connected Gmail mailboxes and return matching messages, newest first — from, to, subject, date, and a short snippet of the body. `query` uses Gmail search syntax: 'in:sent to:jane@acme.com' for messages the user sent to someone, 'from:jane@acme.com' for messages they received, plus operators like subject:, newer_than:7d, and has:attachment. So 'show me the last 5 messages I sent to jane@acme.com' is query 'in:sent to:jane@acme.com' with max_results 5. Each result carries a `starred` flag — a message the user starred matters to them, so weight it accordingly; 'is:starred' finds starred mail directly. For 'how many' questions, use total_matches_estimate in the result — it is Gmail's estimate of ALL matches, beyond the messages returned. If it reports no Gmail account connected, tell the user to connect one at /user/integrations. Rare header-only connections cannot run query search — the tool says so; answer correspondence questions from the brain for those.

  shallow
• search_granola_transcripts

  Find where something was said across the user's Granola meetings: a phrase, a name, a product, a number. Searches summaries and full transcripts of synced notes and returns each matching meeting with a short excerpt around the match. Use it for 'when did we discuss X' or 'what did she say about Y'; use get_granola_notes to browse by date.

  shallow
• search_graph_objects

  Search the user's graph by matching a term against object names and descriptions — plus semantic matching over text-bearing objects (notes, facts, posts, links, files, emails), so a search finds what the user means, not just exact words. Use this to find a specific thing they mentioned — a person, company, file, saved web link, or fact — when you don't have its object_id. Optionally restrict to one type. Returns matches with their object_id for follow-up with get_graph_object.

  shallow
• search_hubspot_crm

  Look up a person or company in the user's connected HubSpot CRM, live, by email address, domain, or name. Use this for 'what do I have on dshah@hubspot.com', 'is gusto.com in the CRM', 'is Acme a customer', or 'do we have a contact named Jane Doe'. An email finds that contact and the company at its domain; a domain finds the company and the contacts at it; anything else is a name search over both. Returns the matching records with their CRM properties and a url to open each in HubSpot. lifecyclestage says where a record stands (subscriber, lead, marketingqualifiedlead, salesqualifiedlead, opportunity, customer, evangelist, other), so 'a customer' means lifecyclestage is customer. found=false with no errors means the CRM has no such record. For aggregate questions over many records use ask_about_hubspot_contacts or ask_about_hubspot_companies instead.

  shallow
• search_linkedin_messages

  Search the text of the user's imported LinkedIn messages (DMs), newest first. Filter by words in the message, by the person it was with, and by date. Use for 'who messaged me about hiring?', 'find the LinkedIn message where someone mentioned Shopify', 'what LinkedIn messages did I get last month?'. Returns snippets; read a whole thread with get_linkedin_conversation.

  shallow
• search_linkedin_posts

  Search public LinkedIn posts by keywords and store the results in the user's brain automatically — do not re-save them with graph tools. The response splits posts into 'new' (never seen by this user before) and 'seen' (already stored on an earlier run). When running as a scheduled watcher, only report or email when 'new' is non-empty, and never include 'seen' posts. Link a post with [label](object:<object_id>) using the returned object ids. Pass found_by_object_id (your own agent node id, the id inside the [object:...] marker at the end of your instructions) so finds are filed under that agent.

  shallow
• search_obsidian_notes

  Search the notes synced from the user's Obsidian vault, by keyword and by meaning, and get back where each one lives in the vault with an excerpt around the match. Use this when they ask what their notes say about something, or point at their vault ('in my notes', 'from my Obsidian'). Narrow with vault_id, folder (a vault path prefix like 'Meetings/2026'), or tag. Returns object_id and path for follow-up with get_obsidian_note, which returns the full note.

  shallow
• search_slack_messages

  Search the Slack messages saved to the user's brain — by keyword and by meaning — newest first. Covers channels the user switched on and their DMs with YouSpot; nothing outside those. Optionally restrict to one channel (id or #name) or to messages since an ISO date. If it reports no Slack workspace connected, tell the user to connect one at /user/integrations/slack.

  shallow
• search_tweets

  Search recent public posts on X (Twitter) by keywords — the X API covers roughly the last week. Uses the user's connected X account; if none is connected, tell them to connect one at /user/integrations/twitter. Results are stored in the user's brain automatically — do not re-save them with graph tools. The response splits posts into 'new' (never seen by this user before) and 'seen' (already stored on an earlier run). When running as a scheduled watcher, only report or email when 'new' is non-empty, and never include 'seen' posts. Link a post with [label](object:<object_id>) using the returned object ids. Pass found_by_object_id (your own agent node id, the id inside the [object:...] marker at the end of your instructions) so finds are filed under that agent.

  shallow
• send_email

  Send an email to the signed-in user at their own account email address. Use this when the user asks to be sent something — 'email me this', 'send myself a reminder', 'send me that summary as an email'. The recipient is fixed to their own address and cannot be changed. To write an email to anyone else, use create_gmail_draft instead — it drafts in their Gmail without sending. Compose a short, specific subject line yourself if the user didn't give one. The body is Markdown, rendered into the YouSpot email template before sending: '## ' subheadings, '- ' bullets, **bold**, > quotes and tables all work. Do not write HTML, and do not add a sign-off or a footer — the template supplies both. LINKS. Never write an absolute youspot.com URL; you do not reliably know them, and a wrong one reaches the reader as a dead link. Write one of these two forms instead and they are resolved for you: [Acme Corp](object:obj_4c1f88a2) — links to an object in the user's graph. The id must come from a graph tool result you actually ran; an id that is not theirs silently loses its link. [Which of these should I chase?](chat:Which of these prospects should I chase first?) — opens chat with that question ready to send. Link the objects you name, so the reader can go straight to what you are telling them about. End with one 'chat:' link offering the obvious next question — it is the cheapest way for them to act on what you found.

  shallow
• send_slack_message

  Post a message to a Slack channel or DM as YouSpot, optionally as a reply in a thread. Only channels the bot has been invited to work; use list_slack_channels to find ids. Write in Slack markdown (*bold*, bullet lines, <url|label> links). Confirm with the user before posting anywhere others can see it.

  shallow
• send_text_to_user

  Send a short text message (iMessage/SMS) to the user's own phone — the number they verified on the iMessage integration. Use it to notify them of something important or time-sensitive: a reminder they asked for, a result from a long-running task, an alert a scheduled agent was set up to watch for. The recipient is always the user themself; no other number can be reached. If no verified number is on file, the response says so — tell them to connect one at /user/integrations/imessage. Keep messages short and concrete; there is a rate cap, so never use this for routine chatter.

  shallow
• set_default_brand_kit

  Make a brand kit the default for the user's active space, so social images, emails and PDFs render in it when no brand_kit_id is given.

  shallow
• set_follow_up

  Set a dated follow-up about an object in the user's graph — 'follow up with Jane in March'. Creates a follow-up fact carrying follow_up_at (ISO 8601, usually in the future) and an optional note, connected to the object it's about. Interim shape: there is no dated query tool yet, so to read follow-ups back ('what's due this week?'), list the user's fact objects and filter on json_data.follow_up_at yourself.

  shallow
• set_graph_object_fields

  Rename or re-describe an object in the user's graph, or set any of its type-specific fields: a contact's phone, email, headline or location, a company's funding stage, and so on. 'name' and 'description' work on every type (files included); other field names come from the type's field dictionary, which get_graph_object returns as 'editable_fields'. Read that first rather than guessing a name, because a name the dictionary does not have is skipped. Pass null to clear a field. Identify the object by object_id (search_graph_objects returns it).

  shallow
• set_linkedin_manager

  Turn the user's LinkedIn manager on, pause it, or say what it is set to. On, it runs daily: plans the week from their recent work when there is no plan, drafts the posts in it, checks what went up against it, nudges once on a quiet Thursday, and names people they know who engaged, by email and only when there is something to say. It never posts. Use for 'turn on the LinkedIn manager', 'pause my LinkedIn emails', 'is my LinkedIn manager on'. The same switch is on its card in Agents and on the Scheduled tab.

  shallow
• set_notification_emails

  Turn the recurring emails YouSpot itself sends the user off or back on, when they ask to stop getting one, unsubscribe, or resume it. The emails: exec_briefings is the daily 'Exec Briefing' built from their Second Brain; post_reports is the recurring 'Insights from your LinkedIn posts' traction report; process_emails are the one-off notices when an import or sync finishes. Pass only the settings they mean, false to stop. When they say 'this email' or 'the one I just got' without naming it, call with no arguments first: the result names the last email YouSpot sent them and the setting behind it, then call again with that setting false. This is for YouSpot's own mail only; for newsletters or senders in their Gmail use the Gmail tools. Confirm in plain words what is now off (or on) and that they can change it any time at the settings_url returned.

  shallow
• share_artifact

  Put a generated item behind a public link, so it can be posted, embedded in a page or opened by someone with no YouSpot account. Anyone holding the link can see it. revoke true takes an existing link away again. Returns the URL.

  shallow
• show_view

  Draw a view in the conversation for hosts that show MCP Apps: a saved view by artifact_id, or view source you wrote after calling view_components. The view runs its own Queries through the host, so call data tools first only to learn the shapes they return. Saves nothing; call generate_view to keep it.

  shallow
• similar_objects

  The objects in the user's graph closest in MEANING to one object — nearest neighbours by stored embedding, so it finds related notes, facts, links, files, and posts even when no words match. Use it to browse outward from something search_graph_objects found. Only text-bearing objects carry embeddings (built in the background), so an empty result usually means the source has none yet.

  shallow
• sync_granola_notes

  Pull the user's newest Granola notes into their brain right away instead of waiting for the six-hourly sync. Queues the sync and returns; notes appear over the next minute or two. Say it was queued, not that it finished.

  shallow
• top_message_correspondents

  The people the user has exchanged the most LinkedIn messages with, most-messaged first, with how many messages and when they last spoke. Use for 'who have I exchanged the most messages with?', 'who do I talk to most on LinkedIn?', and similar.

  shallow
• unmerge_graph_objects

  Undo a merge_graph_objects call: the record that was folded in comes back, its connections move off the kept record, the duplicate edges that were dropped are recreated, and the fields it contributed are removed from the kept record. Only fields the merge itself copied over, and only while they still hold what the merge put there, so a later edit survives. keep_id is the record that survived the merge.

  shallow
• update_brand_kit

  Change fields on a brand kit; fields left out keep their value. Set review_state 'confirmed' only after the user has looked at an imported kit and approved it. Returns the updated kit.

  shallow
• update_calendar_event

  Update one Google Calendar event — change its title (summary), description, location, or start/end times. Only the fields you pass change; everything else stays. Get the event's id (and its calendar_id, if it isn't on the primary calendar) from get_calendar_events first. Use only when the user asked for the change — edits land on their real calendar immediately, and other attendees can see them. start/end are RFC3339 timestamps ('2026-08-25T19:00:00-04:00').

  shallow
• update_my_profile

  Update the user's own profile fields when they ask: timezone, name, headline, company website, LinkedIn URL or X handle. Only pass the fields they asked to change. timezone must be an IANA zone name — translate their words yourself ('ET', 'eastern time', 'Boston time' all mean America/New_York; 'PST' means America/Los_Angeles). Confirm what was set in your reply.

  shallow
• update_profile_fields

  Save facts the user tells you about themselves into their profile fields (birthday, city, role, company stage and the like). `values` maps field_id to the new value; an empty string clears a field. Call with an empty `values` to list every field with its id, type, allowed options and current value. For name, headline, timezone, website, LinkedIn URL or X handle use update_my_profile instead.

  shallow
• update_view

  Change a saved view in place: new source, title, spec_version or state. Pass only what changes. The artifact_id, its brain object and any share link stay the same.

  shallow
• view_components

  Every component and builtin a view can use (layout, charts, tables, Markdown, post cards, images and live cards), with its arguments, how Query, Mutation and Action work, the edit rules for a view patch, and the tools a Query may run for this user. Call it before writing any view source or view patch, including the source for generate_view or update_view. Takes no arguments.

  shallow
• web_search

  Search the open web and get back titles, URLs and snippets. Use when the answer is not in the user's own data and not about one named company: what a competitor is saying publicly, what is happening in a market, whether a claim checks out. For one company in depth use research_company; for the contents of a page you already have a URL for use read_web_page. Results are links and snippets, not the pages themselves.

  shallow
• what_needs_attention

  What this user should deal with right now, computed from their sent mail, their calendar and their LinkedIn export: people who went quiet after real correspondence, people they are meeting this week, who they write to most, invitations nobody answered, and the shape of their network. Each item carries the reason and where the numbers came from. Call this for 'what needs my attention', 'who am I forgetting', 'who should I follow up with', 'what should I do today' and anything else that asks who to deal with without naming one person. Then show an attention_list card and never write the items out yourself. `readiness` says whether the mailbox has finished being read: when it is 'pending' or 'partial', say so rather than presenting a short list as the whole picture.

  shallow

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