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CSOAI-ORG

ISO 42001 AI MCP

by CSOAI-ORG
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

create_certification_checklist

Generate a pass/fail ISO 42001 certification readiness checklist to assess compliance gaps and prepare for audit, with remediation guidance.

Instructions

Generate ISO 42001 certification readiness checklist with pass/fail.

Creates a comprehensive certification preparation checklist covering all mandatory requirements, documentation, and evidence needed for ISO 42001 certification audit. Includes pre-audit assessment and remediation guidance.

Args: organization_name: Name of the organization pursuing certification. current_status: Description of current AIMS implementation status. target_date: Target certification date (YYYY-MM-DD format). caller: Caller identifier for rate limiting. tier: Pricing tier ('free' or 'pro').

Returns: Certification readiness checklist with pass/fail status per item.

Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage.

When to use: Use this tool when you need to assess, audit, or verify compliance requirements. Ideal for gap analysis, readiness checks, and generating compliance documentation.

When NOT to use: Do not use as a substitute for qualified legal counsel. This tool provides technical compliance guidance, not legal advice. Behavioral Transparency: - Side Effects: This tool is read-only and produces no side effects. It does not modify any external state, databases, or files. All output is computed in-memory and returned directly to the caller. - Authentication: No authentication required for basic usage. Pro/Enterprise tiers require a valid MEOK API key passed via the MEOK_API_KEY environment variable. - Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are included in responses (X-RateLimit-Remaining, X-RateLimit-Reset). - Error Handling: Returns structured error objects with 'error' key on failure. Never raises unhandled exceptions. Invalid inputs return descriptive validation errors. - Idempotency: Fully idempotent — calling with the same inputs always produces the same output. Safe to retry on timeout or transient failure. - Data Privacy: No input data is stored, logged, or transmitted to external services. All processing happens locally within the MCP server process.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
organization_nameNo
current_statusNo
target_dateNo
callerNoanonymous
tierNofree
api_keyNo

Tool Definition Quality

A4.3/5.0
Behavior5/5

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

Since no annotations are provided, the description fully covers behavioral traits: read-only, no side effects, authentication requirements, rate limits, error handling, idempotency, and data privacy. This is thorough and exceeds typical disclosure.

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?

Description is well-structured with clear sections, but some redundancy exists between 'Behavior' and 'Behavioral Transparency'. The length is justified by the amount of information, but minor trimming could improve conciseness.

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?

Given the lack of output schema and annotations, the description covers purpose, parameters, behavior, and usage guidance. However, it misses the 'api_key' parameter and does not specify the exact output format beyond 'pass/fail status per item'.

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 'Args' section describes 5 of 6 parameters, adding meaning beyond the schema (0% coverage). However, it omits the 'api_key' parameter entirely, and does not explain constraints like date format or valid tier values.

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 explicitly states 'Generate ISO 42001 certification readiness checklist with pass/fail', giving a clear verb, resource, and outcome. It distinguishes from siblings like 'assess_ai_risk' by focusing on checklist creation.

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?

Has dedicated 'When to use' and 'When NOT to use' sections, providing context for gap analysis and compliance verification. However, it does not explicitly compare with sibling tools like 'certification_timeline' or 'audit_management_system'.

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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