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search_federal_awards

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Search U.S. federal awards by recipient, agency, award type, or amount to find contracts and IDVs, ordered by largest award first.

Instructions

Search U.S. federal awards (USAspending contracts + IDVs) by recipient, agency, award type, NAICS, or minimum amount, joined to the resolved recipient entity. Ordered by award amount (largest first). Use for 'NASA contracts to Boeing over $1B' or an operator's federal funding footprint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 50, max 500)
naicsNoNAICS code prefix (e.g. 5415 for computer systems design)
sinceNoOnly awards starting on/after this date (YYYY-MM-DD)
agencyNoSubstring match on awarding/sub/funding agency (e.g. NASA, Department of Defense)
entity_idNoFilter by resolved recipient entity UUID
recipientNoSubstring match on recipient/company name (e.g. boeing)
award_typeNoAward type: 'contract' or 'idv'
min_amountNoMinimum award amount in USD (e.g. 1000000000 for $1B+)
Behavior3/5

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

Annotations already declare readOnlyHint=true; description adds that results are ordered by award amount and joined to resolved entity, but does not cover pagination, rate limits, or error states.

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?

Extremely concise: two sentences with no unnecessary words. Action, parameters, ordering, and use cases are all presented efficiently.

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 no output schema, description provides enough context (join, ordering, examples) for typical award search queries. Could mention return fields, but still functional.

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 descriptions already cover all parameters (100% coverage). Description merely lists example filter fields without adding new semantic meaning beyond the 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 U.S. federal awards from USAspending, specifying the resource (contracts+IDVs) and join to resolved recipient entity. It distinguishes from sibling search tools like search_entities which search for entities, not awards.

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?

Provides two explicit use cases ('NASA contracts to Boeing over $1B' and 'operator's federal funding footprint'), indicating when to use. However, does not explicitly contrast with alternatives or state when not to use.

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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