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ComplianceCow

ComplianceCow MCP Server

fetch_assessment_available_actions

Retrieve available actions for a specified assessment to identify executable remediation steps and compliance operations.

Instructions

Get actions available on assessment for given assessment name. Once fetched, ask user to confirm to execute the action, then use 'execute_action' tool with appropriate parameters to execute the action. Args:

  • name (str): Assessment name

Returns: - actions (List[ActionsVO]): List of actions - actionName (str): Action name. - actionDescription (str): Action description. - actionSpecID (str): Action specific id. - actionBindingID (str): Action binding id. - target (str): Target. - error (Optional[str]): An error message if any issues occurred during retrieval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalRecordsNo
compliantRecordsNo
nonCompliantRecordsNo
notDeterminedRecordsNo
recordsNo
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the complete output structure (ActionsVO fields) and error handling, and explains the interactive workflow requiring user confirmation. It could improve by stating whether the operation is read-only or if there are rate limits, but the return value documentation is thorough.

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 markdown formatting and distinct Args/Returns sections. The Returns section is verbose but necessary given the rich output structure. The opening sentence is front-loaded with the core purpose, and every section serves a distinct informational purpose.

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?

Given the single input parameter but complex output structure, the description is adequately complete. It documents the output schema fields in detail (compensating for the structured output schema not being visible in the input schema), explains error handling, and contextualizes the tool within the broader assessment action workflow.

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?

With 0% schema description coverage, the description compensates by identifying the 'name' parameter as the 'Assessment name'. This provides essential semantic context missing from the schema, though it could further clarify name formats or case sensitivity constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool 'Get[s] actions available on assessment' with a specific verb and resource. It explicitly scopes the functionality to assessments, distinguishing it from siblings like fetch_available_control_actions or fetch_evidence_available_actions.

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?

Provides explicit workflow guidance: fetch actions, ask user to confirm, then use 'execute_action' tool. It directly names the sibling tool (execute_action) required for the next step and establishes the prerequisite user confirmation step, clearly defining when to use this tool versus when to execute.

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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