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FEC Election Totals

gov.fec.elections
Read-onlyIdempotent

Retrieve aggregate election finance data including total receipts, disbursements, and candidate counts by cycle, office, and state from FEC public disclosure.

Instructions

Aggregate election totals by cycle, office, and state — total receipts, disbursements, candidate count per race. FEC public disclosure

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cycleNoElection cycle year (e.g. 2024).
officeNoOffice: "H" House, "S" Senate, "P" Presidential.
stateNo2-letter state code.
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.
Behavior3/5

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

Annotations already provide readOnlyHint, destructiveHint, idempotentHint, openWorldHint. The description adds no additional behavioral traits beyond listing return fields. It does not contradict annotations.

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, front-loaded sentence with a dash break. Every word is informative; no filler or redundancy.

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 presence of an output schema, the description sufficiently covers purpose and key data elements. No missing details for a straightforward aggregation tool.

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 baseline is 3. The description mentions cycle, office, and state but adds no additional semantic detail beyond what the schema already describes.

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 the tool aggregates election totals by cycle, office, and state, listing specific data points (receipts, disbursements, candidate count). It distinguishes itself from sibling tools like candidates or committees by focusing on aggregate totals.

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?

The description implies use for election-level aggregation but does not explicitly state when to use this tool versus siblings like gov.fec.candidates or gov.fec.committee_totals. No guidance on prerequisites or exclusions.

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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