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Federal Contracts & Grants

search_grants

Search active US federal grant opportunities from Grants.gov. Covers all federal agencies and funding types.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results (max 25)
keywordNoSearch keyword or phrase
categoryNoFunding category: ST=Science, HL=Health, ED=Education, AG=Agriculture
max_awardNoMaximum award amount in USD
min_awardNoMinimum award amount in USD
eligibilityNoEligible applicant type: small_business, nonprofit, state, tribal, individual, university

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

No annotations, so the description carries the full burden. It usefully discloses that only 'active' opportunities are returned and that the source is Grants.gov, implying a read-only search. However, it says nothing about pagination, result ordering, rate limits, or how the returned data is structured.

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 short sentences, front-loaded with the core action and scope, with zero filler. Every clause earns its place.

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 six-parameter search tool with no output schema and no annotations, the description is thin. It omits filter-combination semantics (e.g. whether keyword and category are ANDed) and result behavior, leaving the schema to carry nearly everything.

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 description coverage is 100%, so every parameter is already documented in the schema with units and enum-like values. The description adds no parameter-level meaning beyond that, which matches the baseline 3 when the schema does the heavy lifting.

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?

Names a specific verb (search) and resource (active US federal grant opportunities) with a clear source (Grants.gov) and scope (all federal agencies and funding types). The resource is distinguishable from siblings like search_awards, search_contracts, and search_spending, though the description never explicitly contrasts itself with them.

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

Usage Guidelines2/5

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

No when-to-use guidance, no prerequisites, and no mention of alternatives. It never tells the agent when to pick search_grants over search_awards or search_spending, even though those siblings clearly overlap in the funding domain.

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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