score_screenshots
shallowcom.pagefully/mcp · Verify this server
Reads a set of screenshots with the App Screenshot Index's own reader and holds it against a category: each screenshot comes back with the same tactic keys search_screenshots uses (with label and group), its words and its colour, and each notable tactic comes back with whether the set has it, which screenshots carry it, and what share of the category's top 100 apps, of its top ten and of the rest have it. Use it to turn "how does this set compare" from your reading of pictures into a measurement. Needs sign-in (generate scope). Say which set with one of: page_id (a page made here: its drawn screenshots, which is how you measure a new set), app_id (an app on the workspace: the screenshots of its listing as Pagefully holds them, which is the baseline, and works for an app that is not on the public App Store), or app_store_url or app_store_id (any public App Store app). Pictures cannot be handed to this tool: to measure a design, make the page with generate_pages and send its page_id. For the old set against the new, send the new set and put the old one in baseline, such as page_id with baseline { app_id }. The answer then has "changes": the tactics gained, dropped and kept, each with the screenshots that carried it before and after and the category's numbers, so nothing has to be worked out by eye. The category is the app's own unless you name one with category (a slug from search_screenshots). Where the Index does not hold the app's category the screenshots are still tagged, with no comparison, and category_note says why. Reading costs, so it is metered: a picture is read once and kept, and a workspace can have 60 new screenshots read a day, 10 for a set at most. If any screenshot has not been read yet the answer is a job_id and no tags: call get_job until it is done, then call score_screenshots again with the same arguments. A set read before answers at once. Do not call it in a loop, and after edit_page score a page again only when the person wants the new measurement. There is no score out of a hundred, on purpose. The numbers describe what the leading apps do. They do not show that a tactic causes installs or rank, so say "most top Finance apps do this and this set does not", never "adding this will raise installs". A tactic the set lacks is an observation for the person to weigh, not a fault to fix unasked. Another app's words and name never go into a page.
1 trials · measured today
score_screenshots scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.pagefully/mcp, measured 20 Oct 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- gated
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-20 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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