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lzinga

US Government Open Data MCP

regulations_document_detail

Retrieve comprehensive details for specific U.S. government regulatory documents using their unique document IDs to access official information and requirements.

Instructions

Get detailed information for a specific regulatory document by its document ID (e.g. 'FDA-2009-N-0501-0012').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
documentIdYesDocument ID (e.g. 'FDA-2009-N-0501-0012', 'EPA-HQ-OAR-2021-0208-0001')
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states this is a read operation ('Get'), but doesn't disclose any behavioral traits like authentication requirements, rate limits, error conditions, or what 'detailed information' includes. For a tool with no annotation coverage, this leaves significant gaps in understanding how it behaves.

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?

The description is a single, well-structured sentence that efficiently communicates the core functionality. It's appropriately sized and front-loaded with the main purpose, with no wasted words or unnecessary elaboration.

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?

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'detailed information' includes, the format of the response, or any behavioral aspects. For a tool that presumably returns structured data about regulatory documents, this leaves too much unspecified for effective agent use.

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 description adds minimal value beyond the input schema. It mentions the document ID parameter and provides an example, but the schema already has 100% coverage with a clear description and examples. The description doesn't add any semantic context about parameter constraints or usage beyond what's in the 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?

The description clearly states the tool's purpose with a specific verb ('Get detailed information') and resource ('a specific regulatory document'), and distinguishes it from siblings by specifying the document ID requirement. It provides an example to illustrate the resource type.

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 provides no guidance on when to use this tool versus alternatives. While it mentions the document ID requirement, it doesn't specify when this tool is appropriate compared to other document-related tools in the sibling list (like regulations_search_documents or regulations_docket_detail).

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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