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KeyVex

get_federal_register_documents

Read-only

Returns Federal Register documents — the daily-published collection of US executive branch regulatory + administrative actions. Use this for: regulatory tracking (what's the SEC / EPA / FDA proposing this week?), executive order monitoring, public-comment-period tracking, lobbying tie-in (cross-reference with get_lobbying_filings for 'who's pushing which rule'), or compliance forward-look on proposed regulations. Source: federalregister.gov public REST API. Comprehensive — every Federal Register publication appears here. Document types (document_type field): 'Rule' — final regulation (in effect) 'Proposed Rule' — agency rule open for public comment 'Notice' — formal notice (sunshine acts, hearings, authorizations, determinations, etc.) 'Presidential Document' — executive orders, proclamations, memoranda Agency filtering: agency_slug uses URL-safe identifiers like 'securities-and-exchange-commission', 'environmental-protection-agency', 'food-and-drug-administration', 'federal-trade-commission'. Filter via agency_slug for exact-match; agency_name does case-insensitive substring for fuzzier 'I know the name but not the slug' lookups. Composite document numbers (e.g., '2026-09385') are GPO-assigned and stable. Direct document_number lookup is fastest. Pure-publisher posture: KeyVex returns the daily publication record as-is. No 'regulatory risk score' or 'likely-to-finalize' signals.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoSubstring against title + abstract + excerpts combined. Use for topic searches ('climate', 'ai', 'cryptocurrency').
limitNoMaximum documents to return. Default 50, max 500.
sinceNopublication_date lower bound (YYYY-MM-DD inclusive).
titleNoCase-insensitive substring against the document title.
untilNopublication_date upper bound (YYYY-MM-DD inclusive).
sort_orderNoDefault: desc (newest first).
agency_nameNoCase-insensitive substring against full agency names. Use when you don't know the slug.
agency_slugNoAgency slug for exact filter (e.g., 'securities-and-exchange-commission', 'environmental-protection-agency').
document_typeNoExact filter to one document type. 'Proposed Rule' is the high-value one for compliance forward-look.
document_numberNoGPO-assigned document number (e.g., '2026-09385'). Direct doc lookup, fastest.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/openWorldHint/destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavioral context: 'pure-publisher posture' with no risk scoring, comprehensive coverage ('every Federal Register publication appears here'), and stable GPO-assigned document numbers. It stops short of describing return format or pagination.

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?

Front-loaded with the core definition, then organized into labeled blocks (use cases, source, document types, agency filtering). It is on the long side, but nearly every sentence conveys distinct operational value; only minor tightening is possible.

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 10 params, no required params, full schema coverage, and annotations covering safety, the description is nearly complete. It could say more about result shape/pagination since there is no output schema, but it does characterize the record ('returns the daily publication record as-is').

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds value beyond the schema by explaining the semantics of each document_type value (Rule = in effect, Proposed Rule = open for comment, etc.) and clarifying the exact-match (agency_slug) vs substring (agency_name) distinction for agency filtering.

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 specific verb+resource ('Returns Federal Register documents') and immediately defines what that resource is ('daily-published collection of US executive branch regulatory + administrative actions'). It is distinguishable from siblings like get_government_publications and get_lobbying_filings.

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

Usage Guidelines4/5

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

Gives explicit use cases (regulatory tracking, executive order monitoring, public-comment tracking, compliance forward-look) and cross-references a sibling ('cross-reference with get_lobbying_filings'). However, it never states when NOT to use this tool or how it differs from the nearest sibling get_government_publications.

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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