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List canvas documents

list_canvas
Read-onlyIdempotent

List canvas documents in a workflow run. Canvas documents are collaborative markdown files that multiple agents can edit in parallel. Omit run_id to list documents across all runs. Read-only. Use read_canvas for content and get_canvas_toc for section IDs. There is no get_run; list_runs returns run records. Pass playbook_id as the UUID or GUID of the playbook this call should target.

Input Schema

NameRequiredDescriptionDefault
run_idNoWorkflow run UUID. Omit to list documents across all runs.
playbook_idYesUUID or GUID of the target playbook

Output Schema

NameRequiredDescriptionDefault
documentsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "documents": {
      +      "items": {
      +        "properties": {
      +          "metadata": {
      +            "type": "object"
      +          },
      +          "name": {
      +            "type": "string"
      +          },
      +          "run_id": {
      +            "type": "string"
      +          },
      +          "slug": {
      +            "type": "string"
      +          },
      +          "sort_order": {
      +            "type": "number"
      +          },
      +          "updated_at": {
      +            "type": "string"
      +          },
      +          "version": {
      +            "type": "number"
      +          }
      +        },
      +        "type": "object"
      +      },
      +      "type": "array"
      +    }
      +  },
      +  "required": [
      +    "documents"
      +  ],
      +  "type": "object"
      +}
  2. Added

TDQS

A5/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the readOnly and idempotent annotations, the description states 'Read-only', explains the effect of omitting run_id (lists all runs), and clarifies the absence of a get_run endpoint, providing transparent behavioral details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, well-structured, and covers all necessary points without redundancy or irrelevant details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Provides complete context including purpose, parameter usage, relationships to other tools, and behavioral notes, leaving no major gaps for effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Adds meaningful guidance on parameters beyond the schema: explains that run_id can be omitted to list all runs and that playbook_id should be a UUID or GUID, enhancing usability.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states the tool lists canvas documents in a workflow, defines canvas documents, and distinguishes from read_canvas and get_canvas_toc, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly guides when to use this tool versus alternatives (read_canvas for content, get_canvas_toc for section IDs) and clarifies that list_runs is used for runs, not get_run.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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