well_render_monthly_pivot

shallow

io.github.WellApp-ai/well-mcp · Verify this server

Put a table of amounts per company and per month onto the monthly-pivot card: one row per company with its logo and name, an optional category column, then one column per month. The running month is drawn apart, at the end, marked as in progress. **This tool measures nothing.** Pass a pivot another tool measured, as it is: for subscriptions, the `pivots` entry of `well_measure_subscriptions` for the currency you drew the trend in. Never build or edit the rows yourself. The server reads the running month from its own clock, in UTC, and draws the `month_count` complete months before it (12 by default). It resolves each row's company from `company_id`, so the card shows the company's logo and name. A row with a null `company_id` and a `label_means_id` is a bank label tied to no company: it is drawn from its `name`. A payee the company read cannot reach is drawn from the `name` and `domain` on its row, as the measure returned them. A row with a null `category` is drawn as uncategorised. REFUSED rather than drawn: - more than 50 rows, or two rows for one company or one label - a row with both or neither of `company_id` and `label_means_id`, or a label row with no `name` - an amount keyed outside the drawn months, or keyed by anything but `YYYY-MM`, or a negative amount. A measure that ran just before the month changed is refused on its oldest month: run it again - a `company_id` this workspace cannot read and whose row carries no `name` (`success: false` names the ids) - a `currency` outside ISO-4217 A month with no amount draws an empty cell, which reads as "no payment", never as zero. When the token authorizes one workspace, call this directly — no workspace call is needed first. When it authorizes several, this read will not guess which one you mean: pass `workspace_id` on the call.

100.0/100

1 trials · measured 4 days ago

well_render_monthly_pivot scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.WellApp-ai/well-mcp, measured 18 Oct 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
gated
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-18100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: well_render_monthly_pivot
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