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research.federal-register-search

Read-onlyIdempotent

Search newest U.S. Federal Register document metadata by topic, agency, type, and publication date, returning bounded regulatory notices, rules, proposed rules, presidential documents, and links to FederalRegister.gov and official govinfo.gov PDFs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoOptional full-text Federal Register search term
max_resultsNoMaximum newest-first documents returned
agency_slugsNoOptional exact FederalRegister.gov agency slugs, such as commerce-department
published_toNoOptional inclusive publication-date upper bound
document_typesNoOptional document types: RULE, PRORULE, NOTICE, or PRESDOCU
published_fromNoOptional inclusive publication-date lower bound

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesStructured Federal Register document search result
metaYes
serviceYes
versionYes
request_idYesUnique request identifier

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false. The description adds that results are bounded, lists the specific document types returned, and mentions the inclusion of links to FederalRegister.gov and govinfo.gov PDFs—useful context beyond the safety profile. No contradiction.

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?

A single, front-loaded sentence that begins with the action and resource, then efficiently packs scope, filters, result types, and output destinations. No redundant words or filler—every phrase earns its place.

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

Completeness5/5

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

Given the moderate complexity (6 optional params) and the presence of an output schema, the description sufficiently covers purpose, filtering capabilities, result composition, and source links. It doesn't need to explain return structure because the output schema exists, and the description is complete for correct tool selection.

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?

Schema coverage is 100%, with each of the 6 parameters having a descriptive entry. The tool description only restates the filtering dimensions (topic, agency, type, date) at a high level without adding new semantic detail or examples beyond the schema, so it does not elevate the baseline.

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 uses a specific verb 'Search' with a clear resource: 'U.S. Federal Register document metadata'. It enumerates filtering dimensions (topic, agency, type, publication date) and result types (regulatory notices, rules, proposed rules, presidential documents) with links to authoritative sources, distinguishing it from sibling research tools focused on SEC, OFAC, LEI, etc.

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?

The description clearly implies this tool is for finding Federal Register documents and their metadata/links. It does not explicitly name alternatives or exclusions, but no sibling tool covers Federal Register data, so the context is unambiguous. Lacks an explicit when-not-to-use statement, hence not a 5.

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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TDQS

A3.8/5.0
Disambiguation4/5

Tools are grouped into clear domain prefixes (crypto, data, developer, document, research, web) and each tool name describes a specific function; however, a few umbrella tools like web.full-audit and data.contract overlap with their more targeted counterparts, creating minor ambiguity.

Naming Consistency5/5

All tool names follow a consistent pattern: a domain prefix, a dot, and a hyphenated lowercase compound name (e.g., crypto.base-block-inspect, web.seo-audit). This makes naming predictable and easy to scan.

Tool Count1/5

At 63 tools, the surface area is very large and exceeds the 50+ threshold for extreme mismatch. While the tools are organized into six domains, the sheer number makes it difficult for an agent to select efficiently, and some tools are bundled combinations of others.

Completeness5/5

Each domain offers a thorough set of operations: crypto covers address, account, block, contract, events, gas, and transaction inspection; data covers cleaning, conversion, schema, and validation; developer covers code review, dependency/license audits, and test generation; research covers SEC, OFAC, GLEIF, and USAspending; web covers extraction, SEO, security, and performance. No obvious dead ends exist for the read-only/inspection purpose.

Resources