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get_regulation

Retrieve the complete record of a regulation by its integer ID, including obligations, penalties, scope, and article-level details.

Instructions

Get the full record for a single regulation by its integer ID.

Use this when the user asks for the specific obligations, penalties, scope, or article-level detail of a named regulation (e.g. "what are the obligations under GDPR?", "what's the penalty range for MiCA?", "summarise Article 17 of GDPR"). Returns the complete regulation document: jurisdiction (and legacy country), category (and legacy industry), regulation text, obligations, penalties, scope, tags, upstream source_url, canonical uri, key articles, and timestamps.

IDs are integers (e.g. 123 = GDPR, 124 = GDPR Art. 17, 126 = MiCA). Use search_regulations first to discover IDs — every result includes an id field you can pass here.

Args: regulation_id: Integer ID of the regulation, e.g. 123. Required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regulation_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description bears full burden. It explains the return content (complete regulation document with many fields) and ID examples. Could explicitly state it is a read-only operation, but current detail is sufficient for a retrieval tool.

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 (purpose, usage, returns, parameter). Each sentence adds value, though slightly verbose. Could be tightened without losing clarity.

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?

Given the tool has one required parameter, an output schema exists, and no nested objects, the description is complete. It lists key return fields and properly integrates with sibling tool usage (search_regulations). No gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but description fully compensates by explaining the regulation_id parameter: integer type, examples (e.g., 123 = GDPR), required flag, and context that IDs come from search_regulations. Adds significant meaning beyond schema.

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?

Description clearly states the tool retrieves the full record for a single regulation by integer ID, listing specific return fields (obligations, penalties, scope, etc.). It distinguishes from sibling tools by explicitly relating to search_regulations for ID discovery.

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

Usage Guidelines5/5

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

Provides explicit when-to-use guidance: when user asks for obligations, penalties, scope, or article-level detail of a named regulation. Also advises to use search_regulations first to find IDs, effectively telling when not to use this tool.

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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