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lzinga

US Government Open Data MCP

regulations_docket_detail

Retrieve detailed regulatory docket information by entering a specific docket ID to access official government records and documentation.

Instructions

Get detailed information for a specific regulatory docket by its docket ID (e.g. 'EPA-HQ-OAR-2003-0129').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
docketIdYesDocket ID (e.g. 'EPA-HQ-OAR-2003-0129')
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves information (implying a read operation) but doesn't cover aspects like rate limits, authentication needs, error handling, or the format/scope of the returned details. This leaves significant gaps for an agent to understand operational behavior.

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, efficient sentence that front-loads the core purpose and includes a helpful example. There is no wasted wording, making it easy for an agent to parse quickly.

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, potential response formats, or any behavioral traits like pagination or data freshness. For a tool with no structured support, more context is needed to guide effective usage.

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 input schema has 100% description coverage, with the parameter 'docketId' fully documented in the schema itself. The description adds minimal value by reiterating the parameter name and providing an example, but doesn't explain semantics beyond what the schema already states, such as validation rules or where to find docket IDs.

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 clearly states the tool's purpose with a specific verb ('Get') and resource ('detailed information for a specific regulatory docket'), and includes a concrete example of the docket ID format. However, it doesn't explicitly differentiate from sibling tools like 'regulations_search_dockets' or 'regulations_document_detail', which could provide related regulatory information.

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. It doesn't mention prerequisites, context for when detailed docket information is needed, or how it differs from other regulatory tools in the sibling list, such as search functions or comment/document details.

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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