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AI regulation milestones

ai_regulation
Read-onlyIdempotent

AI law dates, status and sources: eu (AI Act after Omnibus 2026/1744), us_colorado (SB 26-189), brazil (PL 2338/2023); next_milestone. Not legal advice. $0.002/call. Use for AI law dates and status (EU AI Act, Colorado, Brazil); not legal advice.

Input Schema

NameRequiredDescriptionDefault
jurisdictionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already cover read-only, idempotent, open-world, non-destructive, so the safety profile is settled. The description adds valuable non-structured context: a per-call price ($0.002/call) and a 'not legal advice' disclaimer. It does not say what happens when jurisdiction is omitted (0 required params) or how 'status' is expressed, so coverage is partial.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the useful jurisdiction/statute mapping, which is good. But 'Not legal advice' appears twice and 'Use for AI law dates and status' restates the opening clause, so roughly a third of the text is repetition.

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?

With no output schema, the description does the work of indicating returns (dates, status, sources, next_milestone) and adding cost and disclaimer context. The only gap is behavior when jurisdiction is omitted, which matters for a 0-required-param tool.

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?

Schema coverage is 0%, so the description must carry the burden — and it lists all three enum values (eu, us_colorado, brazil) mapped to the specific laws they refer to, which is genuine meaning beyond the bare enum. It still doesn't state that jurisdiction is optional or what the default scope is.

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 names a specific resource (AI law dates, status and sources) and enumerates the three covered jurisdictions with their statutes (EU AI Act after Omnibus 2026/1744, Colorado SB 26-189, Brazil PL 2338/2023), plus the next_milestone field. It is clear what the tool returns. It doesn't differentiate from siblings, though none of the listed siblings are AI-law tools, so confusion risk is low.

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?

Explicitly states the use case: 'Use for AI law dates and status (EU AI Act, Colorado, Brazil); not legal advice.' That gives a clear trigger and an explicit exclusion (not for legal advice). No alternative tool is named, but no sibling overlaps this domain, so the guidance is adequate.

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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