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grc_policy_gap_analysis

Destructive

Identify compliance gaps by comparing existing policies against regulatory requirements and standards.

Instructions

Run the grc domain agent action policy_gap_analysis.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

D1.5/5.0
Behavior1/5

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

The description discloses no behavioral aspects such as whether the tool reads, writes, deletes, or modifies data. The annotation indicates destructiveHint=true, but the description is silent on side effects, permissions, or any risk. This is a significant transparency gap.

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

Conciseness2/5

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

The description is short (two sentences), but the first sentence is redundant with the tool name. The structure is not front-loaded with key information; it merely states the operation and a routing detail. The concise length is appropriate, but the content fails to earn its place.

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

Completeness1/5

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

The description omits crucial context: what inputs are needed, what outputs to expect, any implications of the destructive annotation, and when the tool should be invoked. The existence of an output schema is noted but not described. An agent cannot confidently use this tool based on the provided information.

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

Parameters2/5

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

The parameters 'message' and 'inputs' each have a brief description ('Free-text objective' and 'Optional JSON string of structured inputs'), which provides some meaning. However, the descriptions are generic and do not specify what content or structure is expected for a policy gap analysis, so they add limited semantic value.

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

Purpose2/5

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

The description says 'Run the grc domain agent action `policy_gap_analysis`' which largely restates the tool name. It adds that it routes through a dispatcher under JWT/tenant/company scope, but does not explain what a policy gap analysis is or what it accomplishes. This is minimal and not informative.

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

Usage Guidelines1/5

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

No guidance is provided on when to use this tool versus any alternative. The description does not mention scenarios, prerequisites, or relationships to sibling tools. An agent has no way to determine if this is the correct tool for a given task.

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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