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Regulations.ai — Global AI Law Tracker

Get a regulation

get_regulation
Read-onlyIdempotent

Fetch one regulation by its id (as returned by search_regulations): jurisdiction, status, type, dates, official source and a snippet. The full analysis is on the returned url — point the user there.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesRegulation id

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuine behavioral context beyond that: it discloses that only metadata plus a snippet are returned and that the complete analysis lives on the returned url, which shapes how the agent should relay results.

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 short sentences, zero filler, with the retrieval scope front-loaded and the output-handling instruction second. Every clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, yet the description enumerates the returned fields and directs the agent to the url for the full analysis, so return-value behavior is sufficiently covered. Combined with annotations covering safety and idempotency, nothing needed to call this correctly is missing.

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 100% with a single id parameter, so the baseline would be 3. The description adds provenance meaning by specifying the id is 'as returned by search_regulations', telling the agent where a valid value comes from rather than just naming the field.

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?

States a specific verb (fetch) and resource (one regulation) and explicitly enumerates what comes back: jurisdiction, status, type, dates, official source and a snippet. The parenthetical '(as returned by search_regulations)' ties it to the sibling that produces the id, so an agent can distinguish it from search_regulations or compare_regulations immediately.

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?

Mentions the id comes from search_regulations, which implies the correct upstream workflow, and instructs the agent to point the user to the returned url for the full analysis. It gives clear context but states no explicit when-not condition or case where another sibling would be preferred.

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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