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Glama

drug_label

Drug interactions, warnings and contraindications lookup from the official FDA openFDA drug labels — by generic or brand name. Returns the key label sections. Coverage US. Price: $0.05 per call (x402 payment, USDC on Base mainnet). Drug label lookup against the official FDA openFDA drug labels. By generic or brand name, returns key label sections: drug interactions, warnings, contraindications, indications and boxed warning. Coverage US. For healthcare, pharmacy and clinical-decision-support agents. Not medical advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
drugYesDrug generic or brand name, e.g. 'ibuprofen' or 'Advil'
limitNoMax labels [1-10], e.g. 1

TDQS

A4.2/5.0
Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses geographic coverage (US), pricing ($0.05 per call with x402 payment), and the specific sections returned. It does not mention failure modes or rate limits, but overall provides good behavioral context.

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 informative but contains redundancy (e.g., repeating the source). It is front-loaded with the key purpose and then adds details. Minor redundancy prevents a perfect score.

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

Completeness5/5

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

Given no output schema, the description fully explains return values (key label sections: drug interactions, warnings, contraindications, indications, boxed warning) and notes coverage and pricing. Complete for a simple lookup tool.

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 coverage is 100% with clear descriptions for both parameters. The tool description adds little beyond the schema, merely restating that lookup is by generic or brand name. Baseline 3 is appropriate as schema does the heavy lifting.

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 identifies the tool as a lookup for drug interactions, warnings, and contraindications from official FDA labels, specifying the verb (lookup), resource (FDA drug labels), and scope (by generic or brand name). This effectively differentiates it from unrelated sibling tools.

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 states it is for healthcare, pharmacy, and clinical-decision-support agents and explicitly notes it is not medical advice. However, it does not explicitly discuss when not to use or mention alternative tools, though siblings are unrelated.

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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TDQS

A3.5/5.0
Disambiguation4/5

Most tools have distinct purposes with detailed descriptions. However, there are clusters of similar tools (e.g., multiple token safety and pre-trade verdict tools for different chains) that could cause confusion, though descriptions help differentiate.

Naming Consistency5/5

All tool names follow a consistent pattern of lowercase snake_case with descriptive prefixes (e.g., agent_, crypto_, x402_). No mixing of conventions or ambiguous names.

Tool Count2/5

52 tools is excessive for a single server, covering a wide range of unrelated domains (crypto, legal, climate, transport, etc.). This overwhelms an agent and suggests a lack of focus.

Completeness2/5

The server lacks a coherent domain; it offers one-off tools across many areas but misses fundamental operations for any specific domain (e.g., no company registry for US, no order placement for crypto). Significant gaps exist.

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