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ComplianceCow

ComplianceCow MCP Server

fetch_general_available_actions

Retrieve available actions for assessments, controls, and evidence to identify remediation steps before execution.

Instructions

Get general actions available on assessment, control & evidence. Once fetched, ask user to confirm to execute the action, then use 'execute_action' tool with appropriate parameters to execute the action. For inputs use default value as sample, based on that generate the inputs for the action. Args: - type (str): Type of the action, can be "assessment", "control" or "evidence".

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. - ruleInputs: Optional[dict[str, Any]]: Rule inputs for the action, if applicable. - error (Optional[str]): An error message if any issues occurred during retrieval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionsNo
errorNo
Behavior3/5

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

No annotations provided, so description carries full burden. It successfully explains the multi-step workflow (fetch → confirm → execute) and mentions error handling in returns. However, it lacks details on permissions required, rate limits, or what constitutes valid vs invalid action types beyond the enum values.

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?

Structured with Args and Returns sections, but verbose. The Returns section provides deeply nested field details that may duplicate an output schema (indicated in context signals). The input guidance sentence ('For inputs use default value...') is awkwardly phrased.

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?

Comprehensive for a single-parameter tool. Documents the sole parameter (since schema fails), explains the return structure needed to interpret results, and provides workflow context for subsequent steps. Would benefit from explicit sibling differentiation.

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

Parameters5/5

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

Schema has 0% description coverage with no parameter documentation. The description compensates perfectly by documenting the 'type' parameter with its valid enum values ('assessment', 'control', 'evidence'), which is essential for correct invocation.

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 it 'Get[s] general actions available on assessment, control & evidence' with specific resource types. However, it does not clarify how this differs from sibling tools like fetch_assessment_available_actions or fetch_available_control_actions, which appear to serve similar purposes for specific types.

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 explicit workflow guidance: fetch actions, ask user to confirm, then use 'execute_action' tool. Also instructs to use default values as samples for inputs. Missing explicit comparison to when to use the specific sibling fetch tools versus this general one.

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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