well_show_canvas

shallow

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

Show one of the workspace's saved canvases as a board — the blocks it holds, at the positions its author put them, exactly as stored. Answers with an ARRANGEMENT, not a measure. NO figure is resolved: every block that names a feed is a "figure" block carrying its source and binding and empty params, and tiles_resolved is false. A figure block stores no figure; the board is drawn with its figures by the resolve-board skill, which measures each block and calls well_render_canvas. Ask a KPI tool (well_render_cash_position, well_render_burn, well_render_runway) for one figure; ask this when the question is about a board the workspace saved. WORKFLOW: - well_show_canvas() → the canvas the workspace touched most recently, plus every other canvas's name and id so a different one can be named. - well_show_canvas({ canvas_view_id }) → that canvas. - well_show_canvas({ origin_template: "investor-report" }) → the newest canvas built from that template. Provenance is not identity: a workspace may hold several from one template. - Add measuring: true to any of these when you read the board in order to measure it and draw it with well_render_canvas. The result is the same read. Drawn from this read alone, every figure block shows that it is not resolved yet. A note ("text") carries its own words. can_edit says whether this caller may change the board. Only its author, a workspace admin or the owner can; every other member reads it. When can_edit is false, do not offer to rearrange, rename, delete or share it: say who can change it, naming its author from author_name, and offer to ask them. Do NOT use this to save, create or rearrange a board — that is well_upsert_canvas — and do not read first to look up a board you are about to create. Read only before an UPDATE, where well_upsert_canvas needs the version this read returns.

100.0/100

1 trials · measured 1 day ago

well_show_canvas 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_show_canvas
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well_show_canvas — Vouch