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cyntrica

Gov Data MCP

by cyntrica

fda_device_classification

Read-only

Identify medical device risk class and regulatory details. Search by regulation number, product code, or device name to retrieve class (I-III), product codes, and definitions.

Instructions

Search medical device classification — ~1,700 generic device types. Returns device class (1=Class I, 2=Class II, 3=Class III), product codes, definitions.

Example searches:

  • 'regulation_number:872.6855' — by regulation number

  • 'product_code:NOB' — by product code

  • 'device_name:"pacemaker"' — by device name

  • 'device_class:3' — Class III (highest risk) devices

Count fields: device_class, medical_specialty.exact

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 10, max 100)
searchNoOpenFDA search query. Examples: 'field:value', 'field:"Exact Phrase"', 'field:[20200101+TO+20231231]', '_exists_:field'. Combine with '+AND+', '+OR+', '+NOT+'.
Behavior3/5

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

Annotations already indicate readOnlyHint=true, and the description adds useful return-field context but does not disclose additional behavioral traits such as pagination or rate limits. No contradiction with annotations.

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 front-loaded with the core purpose, then returns, examples, and count fields. Every sentence adds value without unnecessary elaboration.

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?

Without an output schema, the description explains the return contents and demonstrates representative queries. Given only two parameters and a straightforward search tool, this is complete enough for an agent to invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers 100% of parameters, and the description enhances this with domain-specific examples for search values (regulation_number, product_code, device_name, device_class) and count fields. This goes beyond the generic query syntax in the schema.

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 opens with 'Search medical device classification' followed by a scale estimate, and specifies outputs: device class, product codes, definitions. This clearly distinguishes it from other FDA device tools like 510(k) or enforcement.

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?

Provides clear query examples and count fields that show when to use this tool, but does not explicitly state when to prefer it over alternative FDA device tools or list exclusions.

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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