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UK contract awards (Contracts Finder)

query_uk_contract_awards
Read-onlyIdempotent

Who won which UK public-sector contract, for how much: award notices from the official Contracts Finder OCDS feed flattened to one row per award and supplier — buyer, supplier and its company number, award value and date, contract period, CPV codes, category and procurement method. Rolling window of the last two weeks of awards, refreshed daily. Organisation-level data only. Filters combine with AND; q searches all text fields. Costs 1 credit(s) per call with an API key; without one, a preview of up to 5 rows (20 calls/day).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNo
pageNo
buyerNo
categoryNo
per_pageNo
supplierNo
cpv_codesNo
award_date_afterNo
award_date_beforeNo
procurement_methodNo
published_at_afterNo
published_at_beforeNo
award_value_amount_maxNo
award_value_amount_minNo
supplier_company_numberNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), and the description layers on real behavioral context: daily-refreshed two-week window, organisation-level-only granularity, one row per award/supplier, 1 credit per call, and a 5-row preview capped at 20 calls/day without a key. That is value well beyond the structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single dense paragraph that front-loads what the resource is, then the data scope, then filter semantics, then cost. Every sentence carries information, though the long en-dash field list makes it denser than ideal.

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 15-parameter, no-output-schema read tool, the description covers what is returned, the window, granularity, filter combination semantics, and cost/preview limits. The main remaining gap is pagination behavior for page/per_page, which an agent must infer.

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 0% across 15 parameters, so the description carries the burden and largely does: it enumerates the queryable/returned dimensions (buyer, supplier, company number, award value and date, contract period, CPV codes, category, procurement method) and explains that q spans all text fields and filters AND together. It leaves date-format and page/per_page interaction unexplained, so not a full 5.

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?

States a specific verb+resource: award notices from the Contracts Finder OCDS feed flattened to one row per award and supplier. It also implicitly distinguishes itself from the sibling query_uk_tenders by framing the resource as awards ('who won which contract, for how much') rather than tenders.

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?

Gives concrete operating context: a rolling two-week window refreshed daily, filters combining with AND, q searching all text fields, and credit/preview cost limits. It stops short of explicitly naming when to prefer a sibling such as query_uk_tenders, so it is clear but not fully routing.

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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