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Federal Grants — find funding you are actually eligible for

check_grant_eligibility

Given a Grants.gov opportunity ID and an organization type, return a definitive eligibility verdict with the reason. ELIGIBLE / INELIGIBLE / NEEDS_REVIEW. Never guesses: an opportunity that publishes no applicant types, or only 'Others (see text)', returns NEEDS_REVIEW rather than a false green light.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
opportunityIdYesNumeric Grants.gov opportunity id, e.g. '357305'.
organizationTypeYesThe federal applicant category to test against.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the 'Never guesses' behavior and the specific NEEDS_REVIEW handling for missing/ambiguous applicant types, which is valuable. It also states the output includes a reason. This goes beyond basic purpose, though it doesn't detail error handling for invalid IDs.

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 two sentences, front-loaded with the core action, and every clause adds value (verdict categories, no-guess behavior). No redundancy.

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?

Given the simple tool with 2 parameters and no output schema, the description adequately covers inputs, output format, and an important edge case. It omits potential error states but is otherwise complete for an agent to use 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 coverage is 100%, so the schema already documents both parameters. The description restates the inputs but doesn't add new parameter-level detail beyond the schema. Therefore baseline 3 is appropriate.

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 uses a specific verb ('return') with a clear resource ('a definitive eligibility verdict') and specifies inputs (opportunity ID, organization type). It clearly distinguishes from sibling tools like find_federal_grants and grant_program_history, which are about discovery and history, not eligibility.

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 states the input conditions ('Given...') and output, making the use case clear. However, it doesn't explicitly mention when not to use it or recommend alternative tools. Since sibling tools are named, it would benefit from an explicit contrast.

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

A4.4/5.0
Disambiguation5/5

Each tool addresses a distinct aspect: checking a specific opportunity, searching eligible opportunities, and examining historical awards. No overlap exists between them.

Naming Consistency4/5

Two tools follow a clear verb_noun pattern (check_grant_eligibility, find_federal_grants), while grant_program_history uses a noun phrase. The style is consistent with snake_case and descriptive names, but the slight deviation prevents a perfect score.

Tool Count5/5

Three tools are well-scoped for the domain, covering search, eligibility verification, and historical context without redundancy. The count fits the server's focused purpose.

Completeness5/5

The tool surface fully supports the stated purpose: find eligible grants, check a specific one, and validate funding expectations. No critical gaps or dead ends exist for this workflow.