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Federal Award Search

spending.federal.awards
Read-onlyIdempotent

Search 60M+ US federal contract and grant awards by keyword, recipient, or NAICS code. Get award amount, recipient, agency, dates, and description. Results sorted by amount descending.

Instructions

Search 60M+ US federal contract and grant awards by keyword, recipient, or NAICS code. Returns award amount, recipient, agency, dates, and description. Sorted by amount descending. Source: USAspending.gov (DATA Act mandate, US Gov open data).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYesSearch keyword for federal awards (e.g. "artificial intelligence", "cybersecurity", company name)
fiscal_yearNoFiscal year to filter (e.g. 2025). Default: current year.
award_typeNoFilter by award type: contracts, grants, or all (default: all)
limitNoNumber of results to return (1-25, default 10)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds value by stating returns are sorted by amount descending, lists returned fields, and identifies the data source (USAspending.gov). 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, zero waste. First sentence states action and scope, second adds sorting and source. Highly efficient.

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 the 4 parameters and presence of output schema, the description covers purpose, source, sorting, and returned fields. It could optionally mention result limit (in schema) or pagination, but is largely complete.

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 3. The description mentions searching by recipient or NAICS code, but the only parameter is 'keyword', which may confuse an agent. No additional semantics beyond schema.

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 it searches 60M+ US federal contract and grant awards by keyword, recipient, or NAICS code, with specific return fields. It distinguishes from sibling tools (spending.federal.agency, spending.federal.geography) which focus on agency or geographic filters.

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 implies this is for general keyword-based search on federal awards, but does not explicitly mention when to use it over alternative spending tools. It provides clear context but lacks exclusions.

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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