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List pipeline learnings

list_pipeline_learnings
Read-onlyIdempotent

Show the style guide and recent revision history for a content pipeline. Use when user asks "what are the learnings for my newsletter?", "show me the style guide", "what feedback have I given?", or "what does it know about my preferences?".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyIdYesFreedomOS company id to act within (you must be a member). Required for company-scoped tools.
pipeline_idYesPipeline ID (get from list_pipelines)
output_formatNoOptional. Filter by output format: changelog, social_post, team_update, newsletter, report. If not specified, shows all formats.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds that it shows style guide and revision history, which is useful context, but does not detail any additional behaviors like pagination or limits.

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: two sentences, first stating purpose and second giving usage examples. It is front-loaded and every sentence earns its place without unnecessary detail.

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

Completeness4/5

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

For a simple read-only tool with 3 parameters and no output schema, the description is fairly complete. It explains what is returned and gives usage triggers. It does not mention return format, but that is not required given no output schema.

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

Parameters3/5

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

Schema description coverage is 100%, so each parameter is documented. The description does not add meaning beyond the schema; for instance, it does not explain the output_format filter, though the schema does. Baseline of 3 is appropriate given high coverage.

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

Purpose4/5

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

The description clearly states the tool shows the style guide and recent revision history for a content pipeline, using a specific verb and resource. It is distinguishable from related tools like update_pipeline_style_guide and clear_pipeline_learnings, though it does not explicitly name a sibling to contrast with.

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

Usage Guidelines4/5

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

The description provides concrete example user queries ('what are the learnings for my newsletter?', 'show me the style guide') that indicate when to invoke this tool. It does not explicitly state when not to use it or name alternatives, but the examples are highly actionable.

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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