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regulatory_fetch_federal_register_notices

Fetch recent Federal Register notices and rules for any US agency. Returns document type, title, publication and effective dates, and CFR citations in Markdown.

Instructions

Fetch recent Federal Register notices and rules for an agency. Returns document type, title, publication date, effective date, and CFR citations in AI-Ready Markdown. Verified source: Federal Register API (no key required). Data freshness: 4-hour cache. Token-efficient. Example: fetch_federal_register_notices('SEC', 'crypto', '2024-01-01')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agencyYes
keywordNo
date_fromNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Despite no annotations, the description discloses key behavioral traits: return format (AI-Ready Markdown), verified source (Federal Register API, no key), data freshness (4-hour cache), and token efficiency. This provides sufficient transparency for a read operation.

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 description is concise, with all sentences adding value. It front-loads the core purpose, then lists output, source, caching, and an example. No redundant or filler content.

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

Completeness3/5

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

Given no annotations and 0% schema coverage, the description covers the tool's purpose, output format, data source, and caching. However, it lacks parameter descriptions and error handling. The example partially compensates, but overall completeness is adequate but not thorough.

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

Parameters2/5

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

Schema description coverage is 0%, but the description does not individually describe parameters. It only provides an example call ('SEC', 'crypto', '2024-01-01'), which implies the expected format for agency, keyword, and date_from. This is insufficient for complete parameter understanding.

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 'Fetch recent Federal Register notices and rules for an agency', specifying the verb and resource. It distinguishes itself from sibling tools by focusing specifically on Federal Register notices and rules, which is unique among the regulatory tools.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of appropriate contexts, exclusions, or sibling tools. The description only states what the tool does, not when it should be chosen over others.

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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