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salwks

mcp-techTrend

fda_recalls_recent

Read-onlyIdempotent

Retrieve recent FDA medical device recalls via openFDA. Filter by recall class, days, and search query for targeted results.

Instructions

Recent FDA medical device recalls via openFDA. Optionally filter by class (1=most serious, 3=least). Note: openFDA query syntax uses token-exact matching on string fields — for partial matches use wildcards (e.g. product_description:mammog*).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNo
daysNo
class_levelNo
max_resultsNo
response_formatNomarkdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, openWorldHint. The description adds behavioral detail about token-exact matching and wildcards for string fields, which supplements the annotations. However, it omits specifics like rate limits, pagination, or data freshness.

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 states purpose and optional filter, second provides critical query syntax note. No redundant words, front-loaded with core action.

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?

With an output schema covering return values and annotations covering safety, the description is adequate but not complete. It does not explain the 'days' parameter's effect or the meaning of different class levels beyond severity ranking.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It only explains 'query' (via wildcard example) and 'class_level' (class). The parameters 'days', 'max_results', and 'response_format' are not described, leaving gaps for the agent.

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 tool retrieves 'Recent FDA medical device recalls via openFDA' with optional filtering by class. It specifies the resource (FDA medical device recalls), the action (retrieve recent), and distinguishes from siblings like fda_510k_recent.

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?

The description provides usage notes about optional filtering by class and openFDA query syntax for partial matches, but does not explicitly guide when to use this tool over siblings like fda_510k_recent or others. It lacks contextual differentiation.

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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