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lzinga

US Government Open Data MCP

regulations_comment_detail

Retrieve detailed information for specific public comments on U.S. government regulations using comment IDs to analyze feedback and understand stakeholder perspectives.

Instructions

Get detailed information for a specific public comment by its comment ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commentIdYesComment ID (e.g. 'HHS-OCR-2018-0002-5313')
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states a read operation ('Get'), implying it is likely non-destructive, but does not address permissions, rate limits, error handling, or return format. This leaves significant gaps in understanding how the tool behaves beyond its basic function.

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 directly states the tool's purpose without unnecessary words. It is front-loaded and wastes no space, making it highly concise and well-structured for quick understanding.

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 insufficient for a tool that retrieves detailed information. It does not explain what 'detailed information' includes, potential response formats, or any behavioral nuances, leaving the agent with incomplete context for effective 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 input schema has 100% description coverage, with the 'commentId' parameter well-documented in the schema. The description adds no additional semantic context beyond implying retrieval by ID, so it meets the baseline for high schema coverage without compensating with extra details.

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 verb ('Get') and resource ('detailed information for a specific public comment'), making the purpose explicit. However, it does not differentiate from sibling tools like 'regulations_search_comments' or 'cfpb_complaint_detail', which might have similar retrieval functions for comments or complaints, so it misses full sibling distinction.

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, such as 'regulations_search_comments' for broader searches or other detail tools. It lacks explicit context, prerequisites, or exclusions, offering minimal usage direction beyond the basic action.

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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