Skip to main content
Glama

Search Food Recalls

health.safety.food_recalls
Read-onlyIdempotent

Search FDA food enforcement and recall reports for contamination, mislabeling, or safety alerts. Filter results by recall status and paginate.

Instructions

Search FDA food enforcement and recall reports — contamination, mislabeling, safety alerts (OpenFDA)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoOpenFDA search query for food recalls (e.g. "reason_for_recall:salmonella", "recalling_firm:"Tyson"")
limitNoNumber of results (1-100, default 10)
skipNoNumber of results to skip for pagination
statusNoFilter by recall status

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds context about the data source (OpenFDA) and the nature of reports (contamination, mislabeling), which is useful beyond annotations but does not disclose additional behavioral traits like rate limits or pagination limits.

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, front-loaded sentence with no wasted words. It efficiently conveys the tool's purpose and scope.

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 comprehensive input schema (100% coverage), the description sufficiently conveys the tool's function. However, it does not mention search capabilities like date range filtering, which could be inferred from the search parameter but is not explicit.

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 description coverage is 100%, so all parameters have clear descriptions in the schema. The tool description adds no additional parameter-level detail beyond the schema, so baseline 3 is appropriate.

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 it searches FDA food enforcement and recall reports, specifying contamination, mislabeling, and safety alerts. It includes the data source (OpenFDA) and matches the tool name and title, distinguishing it from siblings like health.nutrition.food_search.

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 implies usage for food recall searches but provides no explicit guidance on when to use this tool versus alternatives, such as health.safety.drug_events or health.nutrition.food_search. No when-not-to-use or alternative mentions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/whiteknightonhorse/APIbase'

If you have feedback or need assistance with the MCP directory API, please join our Discord server