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Federal Grant Evidence

Get a complete federal grant evidence pack

get_federal_grant_evidence_pack
Idempotent

Use this limited free-beta tool after search or preview when the user wants a complete, versioned hard-gate and award-history evidence pack for one U.S. federal grant. It never requests payment during the beta. The service has a global daily beta capacity and counts only newly released complete results; reuse request_id for retries. It does not evaluate semantic project relevance, determine legal eligibility, predict an award, draft, or submit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
request_idYesCaller-generated stable idempotency key; reuse it for retries
organizationYes
opportunity_idYesNumeric Grants.gov opportunity id

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeYes
billingYes
fundingYes
programsYes
hardGatesYes
chargeableYes
provenanceYes
limitationsYes
opportunityYes
reasonCodesYes
organizationYes
schemaVersionYes
recommendationYes
resultCompletenessYes

TDQS

A4.4/5.0
Behavior5/5

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

Adds substantial operational context beyond annotations: beta status, guaranteed no-payment behavior, global daily capacity, the fact that only newly released complete results count against capacity, and request_id reuse for retries. These operational traits (payment, rate limiting, retry semantics) are exactly the kind of behavioral detail annotations cannot convey, and nothing contradicts the idempotentHint=true / readOnlyHint=false 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?

Four sentences, each carrying distinct information: purpose and usage trigger, payment safety, capacity and retry semantics, and exclusion boundaries. Purpose is front-loaded and there is zero redundancy with the schema or annotations.

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

Completeness4/5

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

With an output schema present and annotations covering idempotency, the description covers the critical operational concerns: when to use it, payment safety, capacity constraints, retries, and non-goals. Minor gaps remain — what happens when daily capacity is exhausted and a gloss for the jargon 'hard-gate' — but nothing that would prevent an agent from invoking it correctly.

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 67%, leaving the nested organization object undocumented in the schema. The description adds only marginal parameter meaning: it reinforces request_id retry semantics already stated in the schema, but gives no guidance on opportunity_id or the organization sub-fields. The schema carries most of the parameter explanation burden.

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?

States a specific verb and resource: retrieving a 'complete, versioned hard-gate and award-history evidence pack for one U.S. federal grant.' It is scoped to a single grant and explicitly differentiates from the search/analyze siblings by positioning itself as the post-search, pack-delivery step.

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?

Provides an explicit trigger condition ('after search or preview when the user wants a complete... evidence pack') and a strong exclusion list ('does not evaluate semantic project relevance, determine legal eligibility, predict an award, draft, or submit'). However, it never names the sibling tools (analyze_federal_grant, search_federal_grants) that would handle those excluded cases, so routing is implied rather than explicit.

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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TDQS

A4.3/5.0
Disambiguation5/5

Each tool maps to a distinct stage in the grant evidence workflow: discovery, preview analysis, and full evidence pack retrieval. The descriptions draw clear boundaries, especially between analyze_federal_grant and get_federal_grant_evidence_pack, by specifying what each tool does and does not evaluate.

Naming Consistency5/5

All tool names follow the same snake_case verb_first pattern: analyze_federal_grant, get_federal_grant_evidence_pack, and search_federal_grants. The singular/plural variation in the noun phrase is minor and consistent with common API naming conventions.

Tool Count5/5

Three tools is an appropriate size for this narrowly scoped service. Each tool fills a necessary role in the search-to-evidence-pack workflow, and none feel redundant or unnecessary.

Completeness5/5

The toolset covers the full intended workflow: search for grants, analyze a specific grant, and retrieve a complete evidence pack. Explicitly excluded activities like legal eligibility, award prediction, drafting, and submission are out of scope, so their absence is not a gap.

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