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sh-patterson

LegiScan MCP Server

legiscan_get_person

Retrieve detailed information about a US state legislator, including party, role, district, and third-party IDs (VoteSmart, OpenSecrets, Ballotpedia, FollowTheMoney), using a legislator ID.

Instructions

Get legislator information including party, role, district, and third-party IDs (VoteSmart, OpenSecrets, Ballotpedia, FollowTheMoney).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
people_idYesLegislator ID (use find_legislator to resolve from name)
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It does not explicitly state that the operation is read-only, nor does it mention response characteristics, error conditions, or rate limits. A simple 'get' is safe, but transparency is minimal.

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 sentence of 20 words efficiently conveys the tool's purpose and key return fields. No redundant information, and the most important content is front-loaded.

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?

For a simple one-parameter tool with no output schema, the description provides a reasonable list of return fields. It does not cover error responses or rate limits, but the core functionality is adequately described.

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

Parameters4/5

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

Schema description coverage is 100% and the parameter description includes a helpful hint to use find_legislator. The main description adds meaning by enumerating the data fields returned (party, role, district, IDs), which goes beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves legislator information and lists specific fields (party, role, district, third-party IDs). It distinguishes from siblings like legiscan_find_legislator by implying a workflow (people_id from find_legislator), though not explicitly in the main description.

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 parameter description hints that find_legislator should be used first to obtain the people_id, but there is no explicit guidance on when to use this tool versus siblings or when not to use it. Usage context is implied rather than stated.

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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