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Healthparse Healthcare Data Gateway

hrsa_coveredEntities340b_search

Search HRSA 340B OPAIS covered entities + child sites by state, entity type (FQHC/DSH/CAH/RHC/…), or name — the 340B buyer/pharmacy roster. Answers: which 340B-eligible entities operate in my territory, and which have an NPI to join into the provider graph? Powers pharma-sales (340B pharmacies) targeting. Filter: state, entity_type, name, has_npi, parents_only. [price: $0.03/call]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNocase-insensitive substring of the entity name
sortNoname|active_since|state, optionally :asc/:desc
limitNo
stateNo2-letter state code(s), comma-separated
offsetNo
has_npiNoonly entities with a published NPI
entity_typeNoHRSA entity type code(s), comma-separated, e.g. 'FQHC,DSH,CAH'
parents_onlyNoonly parent covered entities (exclude child sites)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior3/5

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

No annotations provided, so description carries full burden. It mentions price ($0.03/call) and implies read-only search, but does not disclose pagination behavior, rate limits, or authentication needs. The description adds some context but is missing behavioral details beyond what is inferred.

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 three sentences plus a price note—concise and front-loaded. Every sentence adds value: purpose, use case, filters, and pricing. No wasted words.

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?

Given 8 parameters and no output schema, the description is adequate but incomplete. It explains the tool's purpose and filters but does not describe the return format, pagination details, or error behavior. It covers the main context but leaves gaps.

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 75% (6 of 8 params have descriptions). The description adds contextual meaning, e.g., 'has_npi' for joining provider graph, but does not cover limit and offset. It provides some added value but does not fully compensate for the uncovered parameters.

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 it searches HRSA 340B OPAIS covered entities and child sites by state, entity type, or name. It distinguishes from siblings by specifying '340B' and mentioning entity type codes like FQHC/DSH/CAH. The purpose is precise and unambiguous.

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 answers the use case: which 340B-eligible entities operate in a territory and which have NPIs. It lists filters but does not explicitly contrast with sibling tools or state when not to use. The context is clear but lacks exclusion guidance.

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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