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Get a Federal Register document

get_regulatory_document
Read-onlyIdempotent

Full structured record for one Federal Register document: status, agencies, publication/comment/effective dates, RINs, dockets, CFR parts, official links, linked rulemakings, deadline history, any earlier Public Inspection filing, and (when configured) the Regulations.gov docket title, comment period and posted comment count. Also finds documents still on Public Inspection.

Input Schema

NameRequiredDescriptionDefault
document_numberYesFederal Register document number, e.g. 2026-12345.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds genuinely new behavioral context: the response can include a conditional Regulations.gov docket title / comment period / comment count "(when configured)", and that the tool also resolves documents that are still on Public Inspection rather than published.

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?

The purpose is front-loaded in the first clause and the rest is a dense but useful enumeration of returned fields rather than filler. The single sentence is long and a little list-heavy, which slightly hurts readability, but every item carries information an agent cannot get from the schema or annotations.

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

Completeness4/5

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

With no output schema, the description carries the burden of describing the return shape and does so thoroughly (status, agencies, dates, RINs, dockets, CFR parts, links, deadline history, config-dependent fields). The main omissions are failure behavior for an unknown/invalid document number and any note on whether the conditional docket fields require extra setup to be visible.

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?

There is a single required parameter and schema description coverage is 100%, with an example value (2026-12345) and a regex pattern supplied in the schema itself. The description adds no format, normalization or lookup-alternative detail beyond that, so the baseline 3 applies.

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 concrete verb and a single, precisely scoped resource ("Full structured record for one Federal Register document") and then enumerates the content it returns. The "one document" framing implicitly separates it from the list/search siblings such as search_federal_regulations and list_regulatory_alerts, and the Public Inspection sentence adds a second distinct retrieval mode.

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

Usage Guidelines3/5

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

Usage is implied rather than stated: the field enumeration and the Public Inspection clause tell an agent this is the per-document lookup, but no sibling is named and there is no explicit when-to-use/when-not guidance versus search_federal_regulations or get_regulatory_timeline. An agent can infer the routing, but must do the inference itself.

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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