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search_nih_grants

Search NIH RePORTER for grant awards by topic, agency, or institution. Returns project title, abstract, award amount, PI names, and institution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesResearch topic or keyword (e.g. "CRISPR gene therapy cancer")
agencyNoNIH agency code (e.g. "NCI", "NIAID", "NHLBI")
maxResultsNoMax grants (default 25)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. Beyond stating it searches for grants, it offers no behavioral details such as rate limits, authentication requirements, or what happens when no results are found. The description adds minimal transparency beyond the basic functionality.

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 purpose and immediately follows with the output details. Every word adds value, with no redundancy or filler.

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?

For a search tool with three parameters and no output schema, the description adequately covers what is searched (grants), how to search (by topic, agency, institution), and what is returned. Missing details like pagination or error handling are acceptable for a simple search tool.

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?

Schema coverage is 100%, providing baseline parameter descriptions. The description adds value by listing the returned fields (title, abstract, award amount, PI, institution), which helps the agent understand what data to expect from the query. This goes beyond the schema's parameter descriptions.

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 explicitly states the tool searches NIH RePORTER for grant awards, with clear specification of the resource (NIH RePORTER), action (search), and returned fields (title, abstract, award amount, PI names, institution). This clearly distinguishes it from sibling tools like search_pubmed (biomedical literature) or search_arxiv (preprints).

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

Usage Guidelines3/5

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

The description implies usage for grant searches but provides no explicit guidance on when to use this tool versus alternatives, nor does it mention when not to use it. Sibling tool names hint at different domains (e.g., grants vs. literature or jobs), but no direct comparison or context is given.

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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