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grc_regulatory_monitoring

Destructive

Monitor regulatory updates and assess their impact on your compliance posture. Identify relevant changes and get alerts to maintain regulatory adherence.

Instructions

Run the grc domain agent action regulatory_monitoring.

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

C2.4/5.0
Behavior2/5

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

The description does not disclose side effects, return values, or what happens after invocation. Although annotations indicate destructiveHint is true, the description itself offers no behavioral details beyond the routing mechanism, leaving the actual effects of the action unknown.

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 concise and to the point, using a short paragraph and a simple args list. There is no redundant or extraneous information, making it easy to read and understand without unnecessary detail.

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

Completeness2/5

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

The description omits critical details such as what regulatory monitoring entails, what the output should be, and what kind of inputs are valid. It is too generic to be fully actionable for an autonomous agent, leaving significant gaps in understanding the tool's full context and usage.

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

Parameters3/5

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

The description provides brief explanations for the two parameters: 'message' is a free-text objective, and 'inputs' is an optional JSON string of structured inputs. This adds minimal meaning beyond the schema's titles and types, but it's still generic and doesn't clarify what kind of objective or structured input is expected, which is insufficient given 0% schema description coverage.

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 `regulatory_monitoring`,' which essentially restates the tool name without explaining what regulatory monitoring actually does. It lacks any indication of the action's goal or expected outcome, leaving the purpose vague.

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

Usage Guidelines2/5

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

The description mentions that it routes through the domain-agent dispatcher under JWT, tenant, and company scope, providing execution context. However, it gives no guidance on when to use this tool versus other tools, nor does it mention any alternatives or conditions that would make it the appropriate choice.

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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