WhitePact

Run ISO 42001 Gap Analysis

rai_iso42001_gap

Read-onlyIdempotent

Run an ISO/IEC 42001:2023 AI management system gap analysis to score maturity across all 10 clauses and generate a prioritized remediation roadmap.

Instructions

Perform an ISO/IEC 42001:2023 AI Management System gap analysis. Evaluates maturity across all 10 clauses: Context, Leadership, Planning, Support, Operation, Performance Evaluation, Improvement, plus AI-specific annexes. Returns gap findings, maturity scores per clause, and a prioritised remediation roadmap. Used by AI Compliance Managers.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "rai_iso42001_gap"
  }
}

Input Schema

Name	Required	Default
`org_name`	No	Organisation
`has_ai_policy`	No
`has_audit_trail`	No
`compliance_maturity`	No
`has_data_governance`	No
`has_risk_assessment`	No
`trust_score_overall`	No
`has_incident_process`	No
`has_impact_assessment`	No
`has_supplier_controls`	No
`has_monitoring_metrics`	No
`has_training_programme`	No
`has_continual_improvement`	No

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.2.6Sep 11, 2026

TDQS

C2.9/5.0

Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and non-destructive behavior, so the safety profile is covered. The description adds that scoring is per-clause maturity and that a prioritised remediation roadmap is returned, which is useful, but it omits that all 13 inputs are optional/defaulted (zero-param invocation is possible) and says nothing about determinism or data requirements.

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?

Front-loaded with the operation and standard, then scope, then outputs in a tight three-sentence block. The trailing audience sentence adds little, but overall it is efficiently sized with no padding.

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?

For a 13-parameter tool with no output schema and no parameter documentation, the description is too thin: it never explains how the boolean control flags or maturity/trust numbers drive the analysis, nor the shape of the findings beyond 'gap findings, maturity scores, roadmap'. An agent has insufficient detail to supply meaningful inputs.

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?

Schema description coverage is 0% across 13 parameters, so the description carries the full burden of explaining org_name, the ten boolean control flags, compliance_maturity, and trust_score_overall. It mentions none of them, leaving an agent to infer each flag's meaning entirely from its name and default value.

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?

States a specific verb (gap analysis) and resource (ISO/IEC 42001:2023 AI Management System), which cleanly separates it from generic siblings like rai_compliance and rai_eu_ai_act_classify. However, it claims evaluation 'across all 10 clauses' while only listing 7 (Context through Improvement), a factual inconsistency that slightly muddies the scope claim.

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 gives an audience ('Used by AI Compliance Managers') but no when-to-use guidance, no prerequisites, and no comparison to adjacent tools such as rai_compliance, rai_eu_ai_act_classify, or rai_policy_check. An agent cannot tell from this text when ISO 42001 gap analysis is the right call versus a generic compliance check.

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