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govcon_fetch_vendor_contract_history

Retrieve contract award history for any US vendor, including total awards, top agencies, and recent contracts. Supports competitive intelligence and incumbent research from USASpending.gov.

Instructions

Fetch contract award history for a specific vendor. Returns total awards, top agencies, contract types, and recent awards in AI-Ready Markdown. Useful for competitive intelligence and incumbent research. Verified source: USASpending.gov. Data freshness: 4-hour cache. Token-efficient. Example: fetch_vendor_contract_history('Booz Allen Hamilton', 'US')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vendor_nameYes
jurisdictionNoUS

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description provides some behavioral context: verified source (USASpending.gov), data freshness (4-hour cache), token-efficiency, and output format (AI-Ready Markdown). It lacks details on pagination, limits, or error handling, which would raise transparency.

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?

The description is composed of several short, front-loaded sentences, each adding value. It is efficient though possibly slightly verbose, but overall well-structured and focused.

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

Completeness3/5

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

Given the tool's simplicity (2 params, output schema exists), the description covers key aspects: purpose, returned data, source, freshness, and example. However, it misses parameter details and error handling, making it adequate but not comprehensive.

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

Parameters2/5

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

The schema has 0% coverage, and the description does not explicitly explain the parameters beyond an example. The 'jurisdiction' default is not described, and there is no clear statement that it is optional or accepts other values.

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?

The description clearly states the tool fetches contract award history for a specific vendor, listing the returned data types. While it includes an example and distinguishes from sibling tools by name, it doesn't explicitly differentiate from govcon sibling tools.

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?

The description notes the tool is useful for competitive intelligence and incumbent research, implying usage context. However, it does not provide explicit when-to-use or when-not-to-use guidance, nor does it mention alternatives like sibling tools.

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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