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fec_candidate_details

Read-onlyIdempotent

Get full detail for a single federal candidate by FEC candidate_id (e.g. 'P80001571'). Includes office, party, status, election years, and mailing address. Use fec_candidate_search to find the candidate_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
candidate_idYesFEC candidate ID (e.g. 'P80001571', 'S2MA00170').

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 cover the safety profile (readOnlyHint=true, idempotentHint=true, destructiveHint=false), so the bar is lower. The description adds value beyond that by disclosing the response scope ('full detail... includes office, party, status, election years, and mailing address'), giving the agent a concrete expectation of what comes back. It doesn't mention behavior for invalid IDs, but that's a minor gap for a simple lookup.

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?

Two sentences, no filler. The first establishes purpose with an example; the second routes to the sibling tool. Both sentences earn their place and the core action is front-loaded.

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?

For a single-parameter, read-only lookup, everything needed to invoke it correctly is present: the parameter is fully documented, the return content is described (field list compensates for the absent output schema), annotations cover safety, and the prerequisite relationship to fec_candidate_search is stated.

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 description coverage is 100% — the schema already documents candidate_id with two examples ('P80001571', 'S2MA00170'). The description repeats one example but adds no meaning beyond what the schema provides, so the baseline 3 applies.

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-resource pair ('Get full detail for a single federal candidate') and identifies the lookup key (candidate_id) with a concrete example. It also enumerates the included fields (office, party, status, election years, mailing address), which distinguishes this from the financial-oriented sibling fec_candidate_financials.

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?

It explicitly routes to fec_candidate_search when the ID is unknown ('Use fec_candidate_search to find the candidate_id'), which is clear when-not-to-use guidance. However, it doesn't explicitly address the other FEC siblings (fec_candidate_financials, fec_committee_search); the field list implies the boundary, but an explicit exclusion would make it fully complete.

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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