Low Risk

product_recalls

US product recalls — food, drug & medical-device enforcement reports (openFDA, keyless, CC0). category = all | food | drug | device; query matches the product description. Most-recent first; Class I = most serious. Use for "is product/brand X recalled right now". Informational — confirm against t...

Risk signalsAccepts freeform code/query input (query)

Part of the Dynamic Feed server.

product_recalls is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call product_recalls to retrieve information from Dynamic Feed without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though product_recalls only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "product_recalls": {}
  }
}

See the full Dynamic Feed policy for all 50 tools.

Get this rule live on your own Dynamic Feed server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access product_recalls gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so product_recalls only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the product_recalls tool do? +

US product recalls — food, drug & medical-device enforcement reports (openFDA, keyless, CC0). category = all | food | drug | device; query matches the product description. Most-recent first; Class I = most serious. Use for "is product/brand X recalled right now". Informational — confirm against the official FDA recall notice.. It is categorised as a Read tool in the Dynamic Feed MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on product_recalls? +

Register the Dynamic Feed MCP server in PolicyLayer and add a rule for product_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 Dynamic Feed. Nothing to install.

What risk level is product_recalls? +

product_recalls is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit product_recalls? +

Yes. Add a rate_limit block to the product_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.

How do I block product_recalls completely? +

Set action: deny in the PolicyLayer policy for product_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.

What MCP server provides product_recalls? +

product_recalls is provided by the Dynamic Feed MCP server (https://dynamicfeed.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Dynamic Feed tool call.

Deterministic rules across all 50 Dynamic Feed tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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