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Glama
BACH-AI-Tools

OpenFDA Drug Label MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_drug_labelsB

Search FDA drug labels using OpenFDA API. Returns drug labeling information including indications, contraindications, warnings, and adverse reactions.

get_drug_adverse_reactionsB

Get adverse reactions information for a specific drug from FDA labels

get_drug_warningsC

Get warnings and precautions for a specific drug from FDA labels

ae_pipeline_ragC

Advanced RAG pipeline for drug safety analysis. Fetches, extracts, chunks, retrieves and summarizes FDA drug label data in one call to prevent LLM response truncation.

get_drug_indicationsA

Get indications and usage information for a specific drug from FDA labels

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.6/5.0

Scored across 5 tools

Disambiguation3/5

The three specific getters (adverse reactions, warnings, indications) are clearly distinct, but search_drug_labels and ae_pipeline_rag both fetch broad drug label data, creating some overlap. The descriptions help distinguish them (general search vs. advanced safety pipeline), but the boundary is not entirely sharp.

Naming Consistency4/5

Most tools follow a consistent verb_noun pattern (search_drug_labels, get_drug_adverse_reactions, get_drug_warnings, get_drug_indications). The outlier is ae_pipeline_rag, which uses an acronym and lacks a verb, making it a minor deviation from the otherwise predictable naming convention.

Tool Count5/5

With 5 tools, the server is well-scoped for its purpose of querying FDA drug labels. Each tool covers a meaningful aspect (general search, specific sections, and a comprehensive pipeline) without excessive redundancy or missing core functionality.

Completeness4/5

The tool set covers the primary drug safety sections (adverse reactions, warnings, indications) and provides a full search capability. Minor gaps exist (e.g., no explicit contraindications or dosage getter), but agents can retrieve these via search_drug_labels or ae_pipeline_rag, so the surface is not severely incomplete.

Maintenance

ActivityInactive
ResponsivenessNo issues