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Get one federal award (USASpending)

get_award
Read-onlyIdempotent

Get full detail for one federal award from USAspending.gov by its generated award id (from search_awards results, e.g. "CONT_AWD_...") - description, obligations, period of performance, awarding/funding agencies, recipient, and place of performance. Keyless.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
award_idYesgenerated_internal_id / generated_unique_award_id from search_awards

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already cover read-only, open-world, idempotent, and non-destructive behavior. The description adds value by explicitly disclosing 'Keyless' (no authentication required) and enumerating the returned data categories (description, obligations, period of performance, agencies, recipient, place of performance), which are not in the annotations.

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?

The description is a single, well-structured sentence that front-loads the action and resource, then efficiently lists the included data fields. No redundant words or filler; every clause contributes to understanding the tool's purpose and output.

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?

With one parameter, full schema coverage, and no output schema, the description carries the burden of explaining return content. It lists the major field groups and notes the keyless nature, which is sufficient for an agent to understand the tool's scope and expected output.

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

Parameters4/5

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

The schema already describes award_id as 'generated_internal_id / generated_unique_award_id from search_awards' with 100% coverage. The description adds a concrete example ('CONT_AWD_...') and reiterates the source context, providing a small but useful semantic boost 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 the verb ('Get'), the resource ('one federal award from USAspending.gov'), and the input key ('generated award id'), with an example format. It also explicitly positions itself as a detail-retrieval complement to search_awards, making it distinguishable from siblings.

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 when to use the tool: after obtaining a generated award ID from search_awards results. It does not explicitly name alternatives or state when not to use it, but the workflow context is clear enough for an agent to select it appropriately.

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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