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Fda Device Pma Search

fda_device_pma_search
Read-onlyIdempotent

Search FDA Premarket Approval (PMA) decisions and supplements by trade/generic name, applicant, product code, or PMA number. Supplements may represent manufacturing or labeling changes rather than new devices.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoResults (1-100, default 20).
deviceNoTrade or generic device name substring.
to_dateNoLatest decision date, YYYY-MM-DD.
applicantNoApplicant/company substring.
from_dateNoEarliest decision date, YYYY-MM-DD.
pma_numberNoExact PMA number, optionally including supplement suffix.
product_codeNoExact FDA product code.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalYes
sourceYes
returnedYes
approvalsYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already indicate read-only, open-world, idempotent, non-destructive behavior. The description adds useful context: supplements may represent manufacturing/labeling changes, not new devices. This helps set expectations about the nature of results beyond what annotations provide.

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?

Two efficient sentences: first states purpose and searchable fields, second adds a key nuance about supplements. No wasted words, front-loaded with essential information.

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?

Given the presence of an output schema and 7 optional parameters, the description covers the core functionality and hints at result nuances. It is sufficiently complete for understanding how to use the tool, though could elaborate on default behavior (e.g., ordering, pagination) which is partially covered by the limit parameter description.

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% (all 7 parameters have descriptions). The description mentions some searchable fields (device, applicant, product_code, pma_number) but does not add semantic detail beyond the schema. Baseline 3 is appropriate.

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 clearly states that the tool searches FDA PMA decisions and supplements by specific criteria (trade/generic name, applicant, product code, PMA number). It is specific about the resource and action, but does not explicitly differentiate from sibling tools like fda_device_510k_search.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives. The description implies usage for PMA searches but does not provide when-not or alternative tool recommendations.

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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