Skip to main content
Glama

gateway

ai-disclosure-kit__get_ai_disclosure_kit_info

Read-only

Get pricing and details for AI Disclosure Kit: ready-to-use EU AI Act Article 50 transparency-obligation text, an embeddable disclosure banner, and a compliance record template for chatbots, AI-generated media, and biometric-categorization/emotion-recognition features. One-time $59. Useful for an agent implementing EU AI Act transparency disclosures for its user's product.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds product detail but no additional behavioral traits such as authentication needs or rate limits; it neither contradicts nor significantly expands on the annotation-provided behavior.

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 about three sentences and front-loads the core purpose ('Get pricing and details'). Every sentence contributes relevant information, though the component list is somewhat dense and could be slightly streamlined.

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, parameterless info tool with no output schema, the description gives enough context about what the tool returns and when it is relevant. It does not over-explain, and the absence of an output schema is compensated by the enumerated contents and use case.

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 tool has zero parameters and schema description coverage is 100%, so there is nothing for the description to clarify at the parameter level. Per the baseline for parameterless tools, a score of 4 is appropriate.

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 identifies the tool as 'Get pricing and details for AI Disclosure Kit' and enumerates the kit's components and use case. It is easily distinguished from sibling tools like check_article50_disclosure by focusing on product information rather than compliance checking.

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 clear context for when to use the tool: 'Useful for an agent implementing EU AI Act transparency disclosures for its user's product.' It does not explicitly exclude cases or name alternatives, but the context is specific enough to guide selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources