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Fda Device Product Code Profile

fda_device_product_code_profile
Read-onlyIdempotent

Build a bounded cross-dataset snapshot for one FDA product code: classification, recent 510(k)s, PMAs, recalls, and MAUDE reports. Dataset counts have different meanings; MAUDE counts are not event rates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_codeYes
limit_per_datasetNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
recallsYes
product_codeYes
maude_reportsYes
pma_decisionsYes
interpretationYes
classificationsYes
clearances_510kYes

Schema Changelog

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

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, etc. Description adds valuable caveat: 'MAUDE counts are not event rates', and notes dataset counts have different meanings. Complements annotations well.

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 concise sentences: first defines purpose and contents, second adds essential warning. No superfluous text; front-loaded with key 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 output schema exists, description is largely complete for a read-only snapshot tool. Covers core function and a key caveat, though could mention how results are combined.

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 has 0% description coverage. Description mentions 'one FDA product code' for product_code and 'bounded' for limit_per_dataset. Partially compensates but does not fully explain limit_per_dataset's role or format.

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?

Description clearly states verb 'Build' and resource 'bounded cross-dataset snapshot for one FDA product code', listing included datasets. Distinguishes from sibling tools focused on single datasets.

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?

Implicitly indicates use for cross-dataset overview but lacks explicit when/when-not or alternatives. Context shows many siblings, but description does not guide selection.

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
Disambiguation2/5

The FDA-specific tools are distinct, but they are mixed with many generic Pipeworx tools (e.g., ask_pipeworx variants, deep_research, entity_profile) that have overlapping purposes. This creates significant ambiguity for an agent trying to choose the right tool for FDA-related queries.

Naming Consistency2/5

Tool names follow two inconsistent patterns: FDA tools use 'fda_device_*' (consistent), while generic tools use various patterns like 'ask_pipeworx', 'deep_research', 'remember', etc. The mix of snake_case, camelCase, and descriptive phrases lacks coherence.

Tool Count2/5

With 37 tools, the count is high for what is intended as an FDA devices server. Only 6 tools are directly FDA-related; the rest are generic and dilute the purpose. The scope is mismatched, making the tool count inappropriate.

Completeness3/5

The FDA tools cover key areas: 510k search, adverse events, PMA, recalls, company profiles. However, the server is incomplete for its name because it lacks many tools that a comprehensive FDA devices server would have, and the generic tools don't fill those gaps.