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get_award_history

Search federal contract award history — who won what, for how much, and when. Use it to size up incumbents, price work, or find buyers. Requires a BidCatch intel key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNorecent
queryYesKeywords matched against description, recipient, and agency
stateNoTwo-letter US state code, e.g. TX

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full disclosure burden. It usefully states the auth prerequisite ('Requires a BidCatch intel key') and the search/read nature of the operation, but says nothing about result volume, pagination, or rate limits for a historical dataset that is likely large.

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 tight sentences: purpose first, use cases second, with the auth requirement appended as a short qualifier. No filler and nothing buried.

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?

For a three-parameter read tool with no output schema and no annotations, the description covers purpose, use cases, and auth, but omits result-shape expectations (counts, pagination, sort behavior) that an agent needs to call it correctly at scale. Adequate but with clear gaps.

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 67%: 'query' and 'state' are documented, and 'sort' carries an enum plus default, so the schema is doing most of the work. The description adds no parameter-level detail (e.g., whether 'state' filters the recipient or the awarding agency), leaving it at the baseline.

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?

States a specific verb ('Search') and resource ('federal contract award history') and unpacks the payload as 'who won what, for how much, and when,' which cleanly separates it from the sibling search_bids (active solicitations vs. past awards). It never explicitly names or contrasts a sibling, so it stops short of a 5.

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?

Gives concrete use cases — 'size up incumbents, price work, or find buyers' — which tells an agent what business question this tool answers. It does not state when to prefer it over get_recompete_radar or search_bids, nor any exclusions, so it lacks the routing precision of a 5.

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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