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ComplianceCow

ComplianceCow MCP Server

verify_control_automation

Check if a compliance control is automated by verifying the presence of a ruleId, and retrieve basic rule information when automation exists.

Instructions

Verify if a control is automated or not based on the presence of ruleId. If ruleId exists, fetch and return basic rule information.

Args: control_id: The ID of the control to verify

Returns: Dictionary containing automation status and rule details if automated

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
control_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so the description carries the full burden. It explains the logic: check ruleId, fetch info if automated. However, it does not specify what 'basic rule information' includes or what happens when ruleId is absent, leaving some behavior ambiguous.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with no unnecessary words, and uses a clear Args/Returns structure that aids readability. Every sentence contributes to understanding the tool's purpose and usage.

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?

For a simple tool with one parameter and an output schema, the description covers the core logic adequately. It could mention the case when ruleId is missing, but the output schema likely handles that, making the description sufficiently complete.

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?

The description adds meaning to the lone parameter 'control_id' by stating it is the ID of the control to verify, overcoming the 0% schema coverage. This provides context beyond the schema's type-only indication.

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 verifies automation status of a control by checking ruleId presence. It uses specific verbs ('verify', 'fetch') and resource ('control automation'), and distinguishes itself from sibling tools like 'fetch_rule' or 'attach_rule_to_control' by focusing on the automation check.

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

Usage Guidelines3/5

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

The description implies usage for checking automation status, but does not explicitly state when to use this tool versus alternatives. No mention of prerequisites or when not to use it, leaving the agent to infer context.

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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