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Generative AI Maturity Framework

map_compliance_control

Search the AI compliance control mapping across EU AI Act, NIST AI RMF, ISO/IEC 42001, and SOC 2. Returns matching controls with per-framework citations.

Input Schema

NameRequiredDescriptionDefault
queryYesCase-insensitive substring to match against control text, category, or specific framework references (e.g. "Art. 15", "MEASURE 2.7").

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It indicates a read-only search and notes that results include per-framework citations, but it does not state result limits, pagination, ordering, or whether the operation has any side effects.

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?

Two concise sentences with no wasted language. The purpose and return content are front-loaded and easy to scan.

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 single-parameter search tool with no output schema, the description is nearly complete: it states what is searched and what is returned. Minor gaps remain around result shape, pagination, and search behavior, but these are not severe for this complexity level.

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?

Schema coverage is 100%, so the single query parameter is fully documented in the schema itself. The description does not add syntax or matching semantics beyond what the schema already provides, so the baseline of 3 is appropriate.

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

Purpose4/5

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

The description gives a specific verb, 'Search', and a specific resource, 'AI compliance control mapping', across four named frameworks. It clearly communicates the tool's function but does not explicitly differentiate it from sibling tools such as get_framework_spec or search_glossary.

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

Usage Guidelines3/5

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

Usage is implied by the verb 'Search' and the named frameworks, but there is no explicit guidance on when to choose this tool over alternatives like get_framework_spec, search_glossary, or list_comparisons. No exclusions or prerequisites are stated.

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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