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ComplianceCow

ComplianceCow MCP Server

suggest_control_config_citations

Generate control citation suggestions for compliance assessments by analyzing control names and descriptions to identify relevant regulatory mappings.

Instructions

Suggest control citations for a given control name or description.

WORKFLOW: When user provides a requirement, ask which assessment they want to use. Get assessment name from user, then resolve to assessmentId (mandatory). For control: offer two options - select from existing control on selected assessment OR create new control. If selecting existing control, get control name from user and resolve to controlId. If creating new control, controlId will be empty.

This function provides suggestions for control citations based on control names or descriptions. The user can select from the suggested controls to attach citations to their assessment controls.

Args: controlName (str): Name of control to get suggestions for (required). assessmentId (str): Assessment ID - resolved from assessment name (required). description (str, optional): Description of the control to get suggestions for. controlId (str, optional): Control ID - resolved from control name if selecting existing control, empty if creating new control.

Returns: Dict with success status and suggestions: - success (bool): Whether the request was successful - items (List[dict]): List of suggestion items, each containing: - inputControlName (str): The input control name - controlId (str): The control ID (empty if control doesn't exist yet) - suggestions (List[dict]): List of suggested controls, each containing: - Name (str): Control name - Control ID (int): Control ID number - Control Classification (str): Classification type - Impact Zone (str): Impact zone category - Control Requirement (str): Requirement level - Sort ID (str): Sort identifier - Control Type (str): Type of control - Score (float): Similarity score - authorityDocument (str): Name of the authorityDocument - error (str, optional): Error message if request failed

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
controlNameYes
descriptionYes
controlIdNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries the full burden. It documents the return structure comprehensively (including nested suggestion fields and similarity scores) but fails to disclose safety characteristics (read-only vs destructive), rate limits, or error behaviors beyond basic failure indication.

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?

The description is appropriately structured with clear sections (summary, workflow, args, returns) but contains redundancy between the WORKFLOW and Args sections. The detailed return documentation is justified given the complex nested output structure, though the overall length borders on verbose.

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?

The description compensates for 0% schema coverage by explaining parameter semantics and provides detailed return structure documentation. However, the parameter contradictions and lack of behavioral safety disclosures leave gaps in the complete picture needed for reliable invocation.

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

Parameters2/5

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

While the Args section adds semantic meaning for the three schema parameters (particularly explaining controlId's conditional usage), it contains critical contradictions: it marks 'description' as optional when the schema requires it, and lists 'assessmentId' as a parameter that does not exist in the provided schema. This creates confusion about actual requirements.

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 first sentence clearly states the tool suggests control citations based on names/descriptions. The workflow section further clarifies this is for mapping requirements to controls within assessments, distinguishing it from sibling tools like 'add_citation_to_asset_control' which performs attachment rather than suggestion.

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

Usage Guidelines5/5

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

The WORKFLOW section provides explicit step-by-step guidance: asking for assessment selection, resolving assessmentId, offering two control options (existing vs new), and handling controlId resolution accordingly. This clearly establishes prerequisites and decision points for using the tool correctly.

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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