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ComplianceCow

ComplianceCow MCP Server

fetch_assessment_run_leaf_controls

Retrieves leaf controls for a given assessment run, including status, compliance, and assignment info. Stores large outputs in a file.

Instructions

Get leaf controls for given assessment run id. If output is large store it in a file.

Args: - id (str): Assessment run id

Returns: - controls (List[Control]): A list of controls. - id (str): Control run id. - name (str): Control name. - controlNumber (str): Control number. - alias (str): Control alias. - priority (str): Priority. - stage (str): Control stage. - status (str): Control status. - type (str): Control type. - executionStatus (str): Rule execution status. - dueDate (str): Due date. - assignedTo (List[str]): Assigned user ids - assignedBy (str): Assigner's user id. - assignedDate (str): Assigned date. - checkedOut (bool): Control checked-out status. - compliancePCT__ (str): Compliance percentage. - complianceWeight__ (str): Compliance weight. - complianceStatus (str): Compliance status. - createdAt (str): Time and date when the control run was created. - updatedAt (str): Time and date when the control run was updated. - error (Optional[str]): An error message if any issues occurred during retrieval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
controlsNo
errorNo
Behavior3/5

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

With no annotations, the description adds limited behavioral context: it notes large output handling and returns an optional error field. However, it does not disclose permission requirements, side effects (likely read-only), or rate limits. The output schema partially compensates.

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?

The description is well-structured with clarity: it starts with the action, includes a note, then documents args and returns. The return section is detailed but appropriate given the output schema presence. It is not overly verbose.

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 fetch tool with one parameter, missing annotations, and an output schema, the description is complete. It covers the argument, return structure (matching output schema), and a caveat for large outputs. No significant gaps.

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 only parameter 'id' has 0% schema coverage, but the description explains it as 'Assessment run id,' which adds meaning beyond the bare type string. This is useful for an agent to understand the parameter's purpose.

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 'Get leaf controls for given assessment run id,' specifying the verb (Get) and resource (leaf controls) with the key parameter (assessment run id). It distinguishes from siblings like fetch_leaf_controls_of_an_assessment and fetch_run_controls by targeting a specific run.

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 provides a usage hint about storing large output in a file, but lacks explicit guidance on when to use this tool versus alternatives like fetch_leaf_controls_of_an_assessment. No exclusions or prerequisites are mentioned.

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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