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UK Business Tools - Ledgerhall

Search Parliamentary Committees

law_committees_search_committees
Read-onlyIdempotent

USE THIS TOOL WHEN searching or listing UK parliamentary select committees by name, house, or active status.

Returns committee summaries (name, house, active status, ID). AFTER calling, pass committee_id into committees_get_committee for current membership, or into committees_search_evidence to retrieve oral and written evidence submitted to that committee.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
houseNoFilter by house.
limitNoMaximum committees to return. Default 100 comfortably covers all currently-active UK select committees. Raise only for historical sweeps.
queryNoSearch term for committee names, e.g. 'defence' or 'treasury'. Filtered client-side against committee names. Omit to list all committees.
active_onlyNoIf true, only return currently active committees.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
houseNoHouse filter applied, or None
queryNoName substring filter applied, or None
totalYesNumber of committees returned in this call
committeesNoMatching committees. Use committees_get_committee for membership detail.
active_onlyYesWhether results were restricted to currently active committees

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds valuable behavioral context: it returns 'committee summaries (name, house, active status, ID)' and explicitly describes the follow-up actions, which tells the agent what to expect from the output and how to chain tools. This goes beyond the annotations without contradicting them.

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 concise and well-structured. The first line is a clear imperative ('USE THIS TOOL WHEN...'), immediately followed by the return summary and downstream steps. Every sentence earns its place: purpose, output, and usage flow. No fluff or repetition of schema details.

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?

Given that an output schema exists (so return values are already structured) and annotations cover safety and idempotence, the description provides sufficient context for decision-making. It explains what the tool does, what it returns, and how to proceed with the results. It does not cover edge cases like empty results or error behavior, but these are not critical for a simple read-only search tool; the overall guidance is complete enough.

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%—all four parameters (house, limit, query, active_only) have detailed descriptions with defaults, bounds, and examples in the schema itself. The tool description does not add additional parameter-level meaning; it only mentions 'name, house, or active status' in the purpose, which maps to existing schema fields. Per the rubric, a baseline of 3 is appropriate when the schema does the heavy lifting.

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's purpose: 'searching or listing UK parliamentary select committees by name, house, or active status.' It names the specific resource (UK parliamentary select committees), the actions (searching/listing), and the filtering dimensions. It also distinguishes itself from sibling tools by directing the user to pass committee_id to committees_get_committee or committees_search_evidence afterward, thereby clarifying its unique role in the workflow.

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?

The description opens with 'USE THIS TOOL WHEN searching or listing...' which is an explicit when-to-use directive. It also provides downstream usage guidance ('AFTER calling, pass committee_id into...'), which helps the agent choose the next tool. However, it does not explicitly state when NOT to use this tool or name direct alternatives for the same search task, which would elevate it to a 5.

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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TDQS

A4/5.0
Disambiguation4/5

Tools are well-grouped by domain prefixes (dd_, gov_, law_, prop_) with clear descriptions that differentiate them. However, there is minor overlap, e.g., dd_search could be used instead of individual searches, and dd_fetch versus dedicated profile tools might cause confusion.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with domain-specific prefixes (dd_, gov_, law_, prop_). Names are descriptive and predictable, e.g., dd_charity_search, gov_govuk_search, law_bills_search_bills.

Tool Count4/5

70 tools is high but justified by the broad scope covering due diligence, government, legal, and property domains. Each domain has a reasonable number of tools (about 15-20 each). The count is on the upper end but still manageable.

Completeness5/5

The tool set is comprehensive across all domains: full CRUD for companies and charities, detailed legal research (cases, legislation, parliament, citations), property data (EPC, planning, price paid, rentals), and government information. No obvious gaps for the intended use cases.

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