list_pipeline_learnings
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?".
This record as markdown: /tools/com-getfreedomos-freedom-mcp/list-pipeline-learnings.md
What list_pipeline_learnings does on Freedom Mcp
AI agents call list_pipeline_learnings to retrieve information from Freedom Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
companyId | string | Yes | FreedomOS company id to act within (you must be a member). Required for company-scoped tools. |
pipeline_id | string | Yes | Pipeline ID (get from list_pipelines) |
output_format | string | — | Optional. Filter by output format: changelog, social_post, team_update, newsletter, report. If not specified, shows all formats. |
Parameters from the server's own tool schema.
Why list_pipeline_learnings is rated Low
This tool queries a content pipeline's metadata (style guide, revision history, preferences) and returns information. It has no side effects, does not create, modify, or delete data, and does not execute code or trigger external operations. It is purely informational retrieval, fitting the Read category at low severity.
From the tool's definition Tool explicitly retrieves and displays existing data: 'Show the style guide and recent revision history' and 'what does it know about my preferences?' — all query/fetch operations with no modification, deletion, or execution capability.
Attacks that exploit this kind of access
The rule that runs list_pipeline_learnings safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Freedom Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_pipeline_learnings, this is the rule to start with:
list_pipeline_learnings is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Freedom Mcp, apply this rule, and every list_pipeline_learnings call is checked against it from then on.
Questions about list_pipeline_learnings
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?". It is categorised as a Read tool in the Freedom Mcp MCP Server, which means it retrieves data without modifying state.
list_pipeline_learnings accepts 3 parameters: companyId, pipeline_id, output_format. Required: companyId, pipeline_id. The full parameter table on this page comes from the server's own tool schema.
Register the Freedom MCP server in PolicyLayer and add a rule for list_pipeline_learnings: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Freedom Mcp. Nothing to install.
list_pipeline_learnings is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_pipeline_learnings rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for list_pipeline_learnings. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
list_pipeline_learnings is provided by the Freedom MCP server (https://twuluxmoognlwtmaoqgo.supabase.co/functions/v1/freedom-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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