Skip to main content
Glama
ComplianceCow

ComplianceCow MCP Server

fetch_task_readme

Retrieve complete README documentation for compliance tasks to understand usage instructions, prerequisites, and implementation steps for workflow integration.

Instructions

Retrieve README documentation for a specific task by name.

Fetches the complete README documentation for a task, providing detailed information about the task's purpose, usage instructions, prerequisites, and implementation steps. This is useful for understanding how to properly use a task in workflows.

Args: name (str): The exact name of the task to retrieve README for

Returns: - readmeText (str): Complete README documentation as readable text - taskName (str): Name of the task for reference - error (str): Error message if retrieval fails or README not available

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
readmeTextNo
taskNameNo
errorNo
Behavior3/5

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

Discloses error behavior ('Error message if retrieval fails') but lacks other behavioral details like idempotency or caching (no annotations provided to contradict).

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

Conciseness3/5

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

Structured with Args/Returns sections, but Returns section is redundant given output schema exists; could be more concise.

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?

Adequate for simple single-parameter tool; covers parameter semantics and purpose, though explicit sibling differentiation would strengthen it.

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

Parameters4/5

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

Compensates effectively for 0% schema description coverage by specifying 'exact name' constraint, indicating precise matching is required.

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?

Clear verb+resource ('Retrieve README documentation for a specific task'), distinguishes from siblings like fetch_rule_readme (task vs rule) and get_task_details (README vs metadata).

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

Usage Guidelines3/5

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

States use case ('useful for understanding how to properly use a task') but lacks explicit when-not-to-use guidance or comparison to alternatives like get_task_details.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ComplianceCow/cow-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server