Skip to main content
Glama
ComplianceCow

ComplianceCow MCP Server

fetch_run_control_meta_data

Retrieve control metadata including control name, assessment name and ID, and assessment run name and ID by providing a control ID.

Instructions

Use this tool to retrieve control metadata for a given control_id, including:

  • Control details: control name

  • Assessment details: assessment name and ID

  • Assessment run details: assessment run name and ID

Args: - id (str): Control id

Returns: - assessmentId (str): Assessment id. - assessmentName (str): Assessment name. - assessmentRunId (str): Assessment run id. - assessmentRunName (str): Assessment run name. - controlId (str): Control id. - controlName (str): Control name. - controlNumber (str): Control number. - error (Optional[str]): An error message if any issues occurred during retrieval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
planIdNo
planNameNo
planInstanceIdNo
planInstanceNameNo
planInstanceControlIdNo
planInstanceControlNameNo
planInstanceControlDisplayableNo
errorNo
Behavior2/5

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

No annotations provided; description only states retrieval and lists return fields. No details on side effects, auth needs, or behavior on invalid input. Minimal transparency.

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

Conciseness4/5

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

Structured with bullet points and clear sections for Args and Returns. Concise but includes necessary detail. Front-loaded purpose sentence.

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

Completeness3/5

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

Given one parameter and an explicit output schema in the description, it covers the return fields. However, lacks usage context like permissions or error handling beyond the error field.

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?

With 0% schema coverage, the description adds 'Control id' for the single parameter, providing context. But the explanation is brief and does not elaborate beyond the schema type.

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 retrieves control metadata for a given control_id, specifying included details. It is specific but does not explicitly differentiate from sibling fetch_* tools.

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?

The description indicates when to use the tool (to retrieve metadata) but lacks guidance on when not to use it or alternatives. Context is clear but no exclusions.

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