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US drug products at FDA product-NDC grain with source-linked enrichments.

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Status
Healthy
Uptime
50.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

B3.2/5.0

Scored across 2 tools

Disambiguation5/5

drugs_get fetches a single product by id while drugs_search performs query-based discovery; the boundary between lookup-by-identifier and query-by-attribute is crystal clear. No overlap in purpose or input modality.

Naming Consistency5/5

Both tools follow the identical resource_verb pattern (drugs_get, drugs_search), snake_case throughout with a shared resource prefix. Fully predictable naming.

Tool Count3/5

Two tools is thin for an 'atlas' that aggregates multi-source drug data; the surface is basically one search plus one fetch. It is defensible for a focused lookup service but leaves no room for browsing adjacent resources.

Completeness3/5

Search plus get covers the core read path, but there is no way to enumerate or filter across ingredients, manufacturers, applications, or sources independently, nor any bulk/batch retrieval. Agents needing to traverse related entities would hit dead ends.

Available Tools

2 tools
drugs_getA
Read-onlyIdempotent
Inspect

Fetch one canonical drug product by id, with every source's provenance + cross-source IDs (NDC / RxCUI / SPL / application no).

Inputs: id (required).

Tool Schema Changelog

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