Skip to main content
Glama

MCPFax Public-Data Utility API

FDA drug label

v1_drug_label
Read-onlyIdempotent

FDA drug label: openFDA structured drug labeling (uses, warnings, dosage). Source: openFDA. $0.01 per call · GET /v1/drug-label

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesSearch value. Example: 'ibuprofen'.
fieldNoopenFDA field to search. Allowed: openfda.brand_name (default), openfda.generic_name, openfda.manufacturer_name, openfda.substance_name, openfda.product_type, openfda.route. Example: 'openfda.generic_name'.
limitNoMax results 1-5. Example: '1'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / field / examples
      Added value: +[
      +  "openfda.generic_name"
      +]
    • addedInput schema / properties / limit / examples
      Added value: +[
      +  1
      +]
    • addedInput schema / properties / q / examples
      Added value: +[
      +  "ibuprofen"
      +]
  2. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds operational context: the $0.01 per-call cost and the GET endpoint, which are consistent with those hints. It does not detail response format or limitations, but the strong annotation coverage lowers that burden.

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 short, front-loaded with the resource and content, and includes useful cost/endpoint metadata. The phrase 'Source: openFDA' repeats the earlier mention of openFDA, creating minor redundancy, but overall it is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple read-only lookup with fully documented parameters and strong annotations. Combined, the description and schema cover the search term, optional field, limit, cost, and endpoint. The absence of an output schema and return-format note is a minor gap for a tool this straightforward.

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 descriptions cover all three parameters with examples, allowed values, and defaults (100% coverage), so the description does not need to repeat them. The description only adds high-level domain context, which does not exceed the baseline for fully documented parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource (FDA drug label) and the content domain (structured drug labeling: uses, warnings, dosage), making it clear what the tool returns. It lacks an explicit action verb like 'retrieve' or 'search', but the resource is unique among siblings, so no differentiation is needed.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage context is implied by the resource name and the mention of uses, warnings, and dosage, but the description does not explicitly state when to use this tool, what it should not be used for, or any sibling alternative. An agent must infer the proper context from the tool's name and schema.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources