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Glama

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Semantic search across 5 US government healthcare databases.

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Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 12 tool updates
    • Addedget_provider_details
    • Removedget_provider_details_tool
    • Addedsearch_drug_labels
    • Removedsearch_drug_labels_tool
    • Addedsearch_drug_safety
    • Removedsearch_drug_safety_tool
    • Addedsearch_literature
    • Removedsearch_literature_tool
    • Addedsearch_providers
    • Removedsearch_providers_tool
    • Addedsearch_trials
    • Removedsearch_trials_tool
  2. 6 tool updates
    • First observedget_provider_details_tool
    • First observedsearch_drug_labels_tool
    • First observedsearch_drug_safety_tool
    • First observedsearch_literature_tool
    • First observedsearch_providers_tool
    • First observedsearch_trials_tool

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TDQS

A3.7/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose targeting different healthcare data sources: providers (NPI), drug labels (FDA), drug safety (FAERS), literature (PubMed), and trials (ClinicalTrials.gov). The descriptions specify unique resources and use cases, with no overlap that would cause agent confusion.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with 'get_' or 'search_' prefixes: get_provider_details, search_drug_labels, search_drug_safety, search_literature, search_providers, search_trials. This predictable naming convention makes the tool set easy to navigate and understand.

Tool Count5/5

Six tools is well-scoped for a healthcare data search server, covering key domains like providers, drugs, literature, and trials. Each tool earns its place by addressing a distinct data source, avoiding bloat while providing comprehensive coverage for medical research and provider lookup tasks.

Completeness4/5

The tool set covers major healthcare data sources effectively, but lacks update/delete operations (expected for a search-focused server) and has minor gaps like no tool for aggregating results across sources. However, the search coverage is strong for the stated purpose, with only small workflow limitations.

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