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ComplianceCow

ComplianceCow MCP Server

fetch_run_control_meta_data

Retrieve control metadata including assessment names, IDs, and run details by control ID to verify compliance status and support audit workflows.

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
Behavior3/5

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

Documents return structure and error field, but lacks behavioral details like caching, idempotency, or failure modes beyond the generic error string.

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?

Well-structured with bullet points and clear Args/Returns sections, though the Returns section somewhat repeats the introductory bullet points.

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?

Adequately complete for a simple fetch operation: covers input, purpose, and return values (acting as output schema documentation).

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 for 0% schema coverage by explicitly documenting the 'id' parameter as 'Control id', providing necessary semantic context.

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?

Clearly states it retrieves control metadata linked to assessment and assessment run details, though doesn't explicitly differentiate from similar 'fetch_controls' siblings.

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

Usage Guidelines2/5

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

No guidance on when to use this versus alternatives like fetch_controls or fetch_assessment_run_details.

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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