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gridwork-aiact

gridwork-aiact

by thegridwork
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

generate_inventory

Create a structured EU AI Act inventory document for a project, listing all detected AI systems with risk classifications and compliance documentation requirements.

Instructions

Generate a formal EU AI Act inventory document for a project. Produces a structured inventory suitable for compliance records, covering all detected AI systems with risk classifications and documentation requirements.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "path": "<path>"
    },
    "name": "generate_inventory"
  }
}

Input Schema

NameRequiredDescriptionDefault
pathYesAbsolute path to the project directory
organizationNoOrganization name for the inventory header

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It accurately states the output covers all detected AI systems with risk classifications, but omits behavioral traits such as whether the tool modifies files, requires permissions, or has performance implications. It is adequate but not thorough.

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 two sentences long with no redundant information. It efficiently communicates the tool's purpose and output contents without wasted words.

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

Completeness3/5

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

Given no output schema and no annotations, the description should explain return format or expected output. It mentions a structured inventory but does not specify whether the output is a file path, JSON, or PDF. Usage guidelines are also missing, leaving gaps for new users.

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 input schema has 100% description coverage, so both parameters (path, organization) are already explained. The description adds minimal extra context beyond what the schema provides, saying the inventory covers all detected systems and risk classifications. This is acceptable but not exceptional.

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 generates a formal EU AI Act inventory document, listing specific contents like risk classifications and documentation requirements. It effectively distinguishes this from sibling tools like quick_check and classify_system by focusing on formal document generation.

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?

No explicit guidance on when to use this tool versus alternatives. The description implies a compliance context but does not state when to choose generate_inventory over quick_check or scan_project, nor does it provide any conditions or prerequisites.

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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