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govcon_search_contract_awards

Search government contract awards by keyword, agency, and date range to analyze competitive landscape with award amounts, vendors, and NAICS codes.

Instructions

Search government contract awards by keyword, agency, and date range. Read-only. No side effects. Idempotent. keyword: Search terms describing the contract scope e.g. cybersecurity software. Required. agency: Awarding agency name e.g. Department of Defense. Optional, defaults to all agencies. date_from: Earliest award date in ISO 8601 format e.g. 2024-01-31. Optional, defaults to all dates. jurisdiction: One of US, EU, or UK. Optional. Default US. Returns award amounts, recipient vendors, NAICS codes, and award dates. Use this when exploring the competitive landscape for a topic area. Use govcon_fetch_vendor_contract_history instead when you need all contracts for a specific vendor. Use govcon_fetch_open_solicitations instead when you need active bids not past awards. Verified source: USASpending.gov + SAM.gov. 4-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="govcon_search_contract_awards", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYes
agencyNo
date_fromNo
jurisdictionNoUS

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Declares read-only, no side effects, idempotent, 4-hour cache, and verified data source. No annotations provided, so description fully covers behavioral traits.

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?

Single well-structured paragraph, front-loaded with purpose. Every sentence adds value, but slightly verbose in listing alternatives and fallback. Still concise enough.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers purpose, parameters, usage, alternatives, source, caching, and error handling. Output schema exists but description also mentions return fields. Very complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage, but description explains each parameter with defaults and examples (e.g., keyword required, agency optional, date_from format). Adds significant meaning beyond bare 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?

Clearly states the tool searches government contract awards by keyword, agency, and date range. Distinguishes from siblings by naming specific alternative tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit when-to-use (exploring competitive landscape) and when-not-to-use (vendor history, open solicitations) with named alternatives. Also includes fallback via report_feedback.

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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