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ComplianceCow

ComplianceCow MCP Server

get_dashboard_data

Retrieves compliance dashboard data for a specified quarter, summarizing control statuses, assignment status, and compliance percentages across frameworks and categories.

Instructions

Function accepts compliance period as 'period'. Period denotes for which quarter of year dashboard data is needed. Format: Q1 2024.

Dashboard contains summary data of Common Control Framework (CCF). For any related to contorl category, framework, assignment status use this function. This contains details of control status such as 'Completed', 'In Progress', 'Overdue', 'Pending'. The summarization levels are 'overall control status', 'control category wise', 'control framework wise', 'overall control status' can be fetched from 'controlStatus' 'control category wise' can be fetched from 'controlSummary' 'control framework wise' can be fetched from 'frameworks'

Args: - period (str) - Period denotes for which quarter of year dashboard data is needed. Format: Q1 2024.

Returns: - totalControls (int): Total number of controls in the dashboard. - controlStatus (List[ComplianceStatusSummaryVO]): Summary of control statuses. - status (str): Compliance status of the control. - count (int): Number of controls with the given status. - controlAssignmentStatus (List[ControlAssignmentStatusVO]): Assignment status categorized by control. - categoryName (str): Name of the control category. - controlStatus (List[ComplianceStatusSummaryVO]): Status summary within the category. - status (str): Compliance status. - count (int): Number of controls with this status. - compliancePCT (float): Overall compliance percentage across all controls. - controlSummary (List[ControlSummaryVO]): Detailed summary of each control. - category (str): Category name of the control. - status (str): Compliance status of the control. - dueDate (str): Due date for the control, if applicable. - compliancePCT (float): Compliance percentage for the control. - leafControls (int): Number of leaf-level controls in the category. - complianceStatusSummary (List[ComplianceStatusSummaryVO]): Summary of control statuses. - status (str): Compliance status. - count (int): Number of controls with the given status. - error (Optional[str]): An error message if any issues occurred during retrieval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoQ1 2024

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalControlsNo
controlStatusNo
controlAssignmentStatusNo
compliancePCTNo
controlSummaryNo
complianceStatusSummaryNo
frameworksNo
errorNo
Behavior4/5

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

Since no annotations are provided, the description carries the full burden. It clearly documents the return structure and the input parameter. However, it does not explicitly confirm read-only behavior or mention any side effects, but the tool name and context imply non-destructive data retrieval.

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 fairly detailed and structured, with the period parameter explained first, followed by a description of the dashboard content, and then the full output schema. It could be slightly more concise, but the length is justified by the complexity of the return data.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has one parameter and a complex return structure, the description covers all aspects: input format, purpose, and full output fields with types and explanations. With no annotations or output schema provided, the description is complete enough for an agent to use the tool correctly.

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?

The only parameter 'period' is explained in detail: the description specifies the format 'Q1 2024' and its purpose (quarter of year for dashboard data). This adds significant meaning beyond the schema's type definition, especially given 0% schema description coverage.

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 retrieves dashboard summary data for the Common Control Framework based on a compliance period. It mentions specific return fields and distinguishes from sibling tools by stating 'For any related to control category, framework, assignment status use this function.'

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?

The description provides some guidance on when to use the tool ('For any related to control category, framework, assignment status use this function'), but does not explicitly mention alternatives or situations to avoid. It lacks a clear when-to-use/when-not-to-use structure.

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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