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FEC Federal Candidates

gov.fec.candidates
Read-onlyIdempotent

Search US federal election candidates by name, cycle, office, state, or party to get FEC candidate IDs and filing dates.

Instructions

Search 53K+ US federal election candidates by name/cycle/office (House/Senate/Presidential)/state/party. Returns FEC candidate ID + filing dates. FEC public disclosure

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoFree-text candidate name search (e.g. "Sanders", "Trump").
cycleNoElection cycle year — even number (e.g. 2024, 2022, 2020).
officeNoOffice: "H" House of Representatives, "S" Senate, "P" Presidential.
stateNo2-letter state code (e.g. "CA", "TX").
partyNoParty abbreviation (e.g. "REP", "DEM", "LIB", "GRE").
pageNoPage number (default 1).
per_pageNoPer-page count (default 20, max 100).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

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

Annotations already declare readOnly and idempotent behavior. The description adds that results include FEC candidate ID and filing dates, and notes the data source. No contradictions.

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 sentence that efficiently captures purpose, filters, and output. No redundant information.

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?

The description covers search functionality, filters, and return fields. While pagination is in the schema, it isn't mentioned, but the tool is straightforward. Annotations provide safety context.

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%, so parameters are well-defined in the schema. The description merely lists them without adding new meaning, so baseline 3 is appropriate.

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 it searches federal election candidates, listing filter criteria and return fields. It distinguishes from sibling tools (committee totals, elections, super PAC spending) by focusing on candidate search.

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 implies usage context by listing filter parameters, and sibling tool names indicate different purposes. However, it lacks explicit 'when to use' or 'when not to use' guidance.

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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