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BACH-AI-Tools

OpenFDA Drug Label MCP Server

get_drug_warnings

Retrieve FDA drug warnings and precautions for a specific medication by searching its label. Access critical safety information to inform clinical decisions.

Instructions

Get warnings and precautions for a specific drug from FDA labels

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of records to return
drug_nameYesName of the drug to search for warnings
Behavior2/5

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It only says 'Get', which implies a read operation, but does not mention pagination, return limits, or potential side effects. This leaves the agent without essential 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that communicates the core purpose without unnecessary words, making it highly efficient and front-loaded.

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

Completeness3/5

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

The description states the core function but does not explain the return structure or how 'limit' affects results. Since there is no output schema, the agent may be under-informed about response format, making it minimally sufficient but not complete.

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?

The description adds no information about parameters beyond the schema, which already documents both 'drug_name' and 'limit' with 100% coverage. The schema handles parameter semantics, so baseline 3 applies.

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 states the verb 'Get' and the specific resource 'warnings and precautions' for a specific drug from FDA labels, which distinguishes it from sibling tools like get_drug_adverse_reactions and get_drug_indications.

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 implies the use case for a specific drug, but does not explicitly compare with alternative tools or provide exclusion criteria. It gives clear context without explicit when-not-to-use guidance.

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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