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paulieb89

UK Legal Research MCP Server

Get Member Debates

parliament_member_debates
Read-onlyIdempotent

Search parliamentary debates by a specific MP for contributions containing an exact phrase, enabling precise verbatim lookup in Hansard.

Instructions

USE THIS TOOL WHEN you have a member_id and want contributions where THAT member used a specific topic phrase verbatim (text-body search).

CALL parliament_find_member(name) FIRST to obtain the integer member_id.

This is a name-based text-body search — it matches contributions whose TEXT contains the topic phrase. A member who spoke in a debate but didn't use your phrase verbatim is filtered out. For verbatim retrieval of every contribution by a member in a known debate (regardless of vocabulary), use parliament_get_debate_contributions(debate_ext_id, member_id=...) instead.

Each contribution's text field is capped at 3000 characters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYesMemberDebatesInput with member_id and optional topic filter.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
member_idYesParliament Members API member ID
topicNoTopic phrase filter applied, if any
offsetNoSkip applied to this page
limitNoPage size requested
totalYesNumber of contributions returned in this call
has_moreNoTrue if a full page was returned (more may exist)
contributionsNoHansard contributions for the member. Each `text` field is capped at 3000 characters.
Behavior5/5

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

Annotations already indicate readOnlyHint, destructiveHint, idempotentHint, so agent knows it's safe. Description adds details: text-body search matching verbatim, filtering out members without phrase, and 3000-char cap. No contradictions with 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?

Description is concise with front-loaded imperative sentence. Three short paragraphs each adding distinct value: usage, prerequisite, behavioral nuance. No wasted text.

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 output schema exists, description covers purpose, prerequisite, distinction from sibling, and a technical cap. Pagination is not needed as schema covers offset/limit. Complete for this tool's complexity.

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 detailed param descriptions. Description adds minimal extra beyond schema (e.g., reiterates verbatim match). Baseline 3 is appropriate since schema already provides sufficient semantics.

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 this tool retrieves contributions from a specific member that contain a specific phrase verbatim. It distinguishes from sibling parliament_get_debate_contributions by contrasting text-body search vs. verbatim retrieval of all contributions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use (have member_id, want phrase-specific contributions) and when not (use alternative for all contributions). Provides prerequisite to call parliament_find_member first. Clear guidance on usage context.

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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