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ComplianceCow

ComplianceCow MCP Server

fetch_assessments

Retrieve available ComplianceCow assessments to confirm assessment names when attaching rules to controls. Returns basic assessment details including IDs, names, and categories without full control hierarchies.

Instructions

Fetch the list of available assessments in ComplianceCow.

TOOL PURPOSE:

  • Retrieves a list of available assessments if no specific match is provided.

  • Returns only basic assessment info (id, name, category) without the full control hierarchy.

  • Used to confirm the assessment name while attaching a rule to a specific control.

Args: categoryId (Optional[str]): Assessment category ID.
categoryName (Optional[str]): Assessment category name.
assessmentName (Optional[str]): Assessment name.

Returns: - assessments (List[Assessments]): A list of assessment objects, each containing:
- id (str): Unique identifier of the assessment.
- name (str): Name of the assessment.
- category_name (str): Name of the category.
- error (Optional[str]): An error message if any issues occurred during retrieval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryIdNo
categoryNameNo
assessmentNameNo
Behavior4/5

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

Since no annotations exist, description carries full burden and successfully discloses key behavioral limits (returns only basic info, excludes full control hierarchy, optional filtering).

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 clear sections (TOOL PURPOSE, Args, Returns); front-loaded summary; Returns section verbosity is justified by absence of output schema.

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?

Complete for a simple fetch tool: covers purpose, parameters, and return structure (compensating for missing output schema), though could clarify distinction from `list_assessments`.

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?

Compensates for 0% schema coverage by defining each parameter, but only restates parameter names as descriptions without explaining filtering logic or parameter relationships.

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 specific purpose (fetch assessments) with sibling differentiation via the 'basic info without full control hierarchy' detail and specific mention of use for confirming names during rule attachment.

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?

Provides clear context (confirming assessment names when attaching rules to controls) but lacks explicit 'when not to use' guidance or comparison to sibling `list_assessments`.

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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