health.safety.food_recalls
Search FDA food enforcement and recall reports — contamination, mislabeling, safety alerts (OpenFDA)
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/health.safety.food-recalls.md
What health.safety.food_recalls does on Apibase
AI agents call health.safety.food_recalls to retrieve information from Apibase without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
skip | integer | — | Number of results to skip for pagination |
limit | integer | — | Number of results (1-100, default 10) |
search | string | — | OpenFDA search query for food recalls (e.g. "reason_for_recall:salmonella", "recalling_firm:"Tyson"") |
status | string | — | Filter by recall status |
Parameters from the server's own tool schema.
Why health.safety.food_recalls is rated Low
Queries public FDA food safety data; no side effects, data creation, or financial impact.
From the tool's definition Search FDA food enforcement and recall reports — contamination, mislabeling, safety alerts
Attacks that exploit this kind of access
The rule that runs health.safety.food_recalls safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Apibase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For health.safety.food_recalls, this is the rule to start with:
health.safety.food_recalls is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Apibase, apply this rule, and every health.safety.food_recalls call is checked against it from then on.
Questions about health.safety.food_recalls
Search FDA food enforcement and recall reports — contamination, mislabeling, safety alerts (OpenFDA). It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
health.safety.food_recalls accepts 4 parameters: skip, limit, search, status. The full parameter table on this page comes from the server's own tool schema.
Register the Apibase MCP server in PolicyLayer and add a rule for health.safety.food_recalls: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Apibase. Nothing to install.
health.safety.food_recalls is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the health.safety.food_recalls rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for health.safety.food_recalls. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
health.safety.food_recalls is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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