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paulieb89

UK Legal Research MCP Server

Find Member of Parliament

parliament_find_member
Read-onlyIdempotent

Retrieve UK MP or Lord details by name, including unique ID, party, constituency, house, and current sitting status.

Instructions

Search for a current or former MP or Lord by name.

Returns all members matching the name query, each with the integer id required by parliament_member_debates and parliament_member_interests, plus party, constituency, house, and current-sitting status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYesFindMemberInput with the name (full or partial).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe name that was searched
totalYesNumber of members matching the query
membersNoMatching members. Use the integer `id` field from any member to call parliament_member_debates or parliament_member_interests.
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. Description adds value by specifying the return format (list of members with id, party, etc.) and the behavior of returning all matches. 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?

Two sentences: first provides purpose, second details return value and connection to sibling tools. No redundant words.

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 full schema coverage, annotations, and an output schema, the description covers the purpose, return values, and cross-tool dependencies completely.

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 a good description and examples. The tool description does not add new parameter details beyond repeating the schema's example. Baseline score 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?

Clearly states verb 'search' and resource 'current or former MP or Lord by name'. Distinguishes from siblings by specifying the output includes the `id` needed by parliament_member_debates and parliament_member_interests.

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?

Implies usage as a prerequisite for other tools by noting the returned `id` is required elsewhere. Could explicitly state when not to use, but context is clear for an AI agent.

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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