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nonprofit_search_nonprofits_by_category

Read-onlyIdempotent

Search US nonprofits by mission category and state. Returns up to 25 results with revenue, assets, and health scores (0–100). Category maps to NTEE codes: education, healthcare, arts, environment, human_services, civil_rights, international, religion, science, sports. Raw NTEE letter (A–Z) also accepted. Uses ProPublica Nonprofit Explorer API. Rate limit: 30/minute. No auth required. Starting point for nonprofit due diligence — follow with nonprofit_fetch_nonprofit_full_profile for deep dive on a specific EIN. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="nonprofit_search_nonprofits_by_category", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoTwo-letter US state code e.g. CA. Optional.
categoryYesNTEE category e.g. education, healthcare, arts. Required.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive. The description adds valuable behavioral context: rate limit (30/min), no auth required, returns up to 25 results, uses ProPublica API, and specifies returned data (revenue, assets, health scores). This exceeds annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured, starting with the core purpose, then details, then usage guidance. It is longer than minimal but every sentence adds value, including the feedback fallback. Could be slightly more concise but is efficient given the information density.

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?

For a tool with 2 parameters, an output schema, and clear annotations, the description is comprehensive. It covers purpose, parameters (with mapping), limits, data returned, external API, rate limits, and usage flow. No significant gaps are present.

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 description coverage is 100%, so baseline is 3. The description adds significant value by explaining that category maps to NTEE codes, listing example categories, and noting that raw NTEE letters (A-Z) are also accepted. This clarifies the parameter semantics beyond the schema.

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 clearly states the tool's purpose: 'Search US nonprofits by mission category and state.' It specifies the resource (US nonprofits), action (search), and filters (category, state). It also distinguishes itself from siblings by positioning itself as a starting point for due diligence, with a follow-up tool mentioned (nonprofit_fetch_nonprofit_full_profile).

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 provides clear context for when to use this tool ('starting point for nonprofit due diligence') and explicitly recommends a follow-up tool for deep dives. However, it does not explicitly state when NOT to use this tool, such as when a direct EIN lookup is needed (handled by sibling tool).

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

A4.1/5.0
Disambiguation4/5

Tools are grouped into clear domain prefixes (compliance, domain, frontend_security, etc.) with distinct purposes. Minor overlap exists between frontend_security_detect_typosquatting and security_detect_typosquatting, but descriptions clarify the different scope.

Naming Consistency4/5

Most tools follow a consistent verb_noun pattern with snake_case. Irregularities like 'fetch' vs 'audit' and two 'detect_typosquatting' tools exist, but overall naming is predictable within domains.

Tool Count3/5

55 tools is high for a single server given the breadth of domains. Some redundancy (e.g., two typosquatting tools) suggests possible trimming, but the count is justified by the wide coverage.

Completeness4/5

The tool surface covers key operations across domains like compliance, domain, security, legal, and nonprofit. Minor gaps exist, such as limited frontend audit beyond package.json and no general-purpose code scanning.

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