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Bradshaw UK funding rounds

Get public grants

get_grants
Read-onlyIdempotent

Public grant awards matched to a company number (for example Innovate UK), as published: an award offered is not money paid. Each grant has its funder, licence and source link; the company number is a Companies House number.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_grants"
  }
}

Input Schema

NameRequiredDescriptionDefault
perNoRows per page: 25 (default), 50 or 100.
pageNoPage number, from 1.
sinceNoProject started on or after: an ISO date, or a span such as 12m.
funderNoFunder name, for example Innovate UK (not case sensitive).
sourceNoSource dataset, for example innovate_uk.
companyNoOne company number.
min_awardNoSmallest award offered, in pounds.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the description's job is to add data semantics — and it does: 'an award offered is not money paid' warns about a real misinterpretation risk. It also names fields returned (funder, licence, source link), which matters because there is no output schema.

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?

Two tight sentences, front-loaded with what the tool returns and followed by the key caveat. Every clause carries information; only the licence/source-link detail feels slightly incidental.

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 7-parameter, filter-only read tool with no output schema, the description covers resource identity, matching key, and returned fields, plus a critical interpretation caveat. Missing only result-ordering or empty-result behaviour, which is minor here.

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%, so baseline is 3. The description adds one genuine clarification — that the company parameter is a Companies House number, i.e. the join key — but says nothing extra about funder, since, source, min_award, or pagination beyond what the schema documents.

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?

States the specific resource ('public grant awards') and the matching key ('matched to a company number'), with a concrete funder example. It is clearly distinguishable from siblings like get_company_financials or get_company_rounds, though it never names an alternative directly.

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?

Usage is only implied: an agent can infer this is the tool for grant funding tied to a company. There is no explicit when-to-use versus get_company_rounds or search_companies, and no statement that all filters are optional or that omitting company returns a broad sweep.

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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