Low Risk

fda_search_recall_text

Full-text search across recall reasons and product descriptions using PostgreSQL text search. Finds recalls mentioning specific terms (e.g. 'salmonella contamination', 'mislabeled', 'sterility'). Supports multi-word queries ranked by relevance. Filter by classification, product_type, or date rang...

Risk signalsAccepts freeform code/query input (query)

Part of the FDA Data MCP server.

fda_search_recall_text 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 fda_search_recall_text to retrieve information from FDA Data MCP 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 fda_search_recall_text 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": {
    "fda_search_recall_text": {}
  }
}

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These attack patterns abuse exactly the kind of access fda_search_recall_text 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 fda_search_recall_text 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 fda_search_recall_text tool do? +

Full-text search across recall reasons and product descriptions using PostgreSQL text search. Finds recalls mentioning specific terms (e.g. 'salmonella contamination', 'mislabeled', 'sterility'). Supports multi-word queries ranked by relevance. Filter by classification, product_type, or date range. Related: fda_search_enforcement (search by company name, classification, status), fda_recall_facility_trace (trace a recall to its manufacturing facility).. It is categorised as a Read tool in the FDA Data MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fda_search_recall_text? +

Register the FDA Data MCP server in PolicyLayer and add a rule for fda_search_recall_text: 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 FDA Data MCP. Nothing to install.

What risk level is fda_search_recall_text? +

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

Can I rate-limit fda_search_recall_text? +

Yes. Add a rate_limit block to the fda_search_recall_text 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 fda_search_recall_text completely? +

Set action: deny in the PolicyLayer policy for fda_search_recall_text. 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 fda_search_recall_text? +

fda_search_recall_text is provided by the FDA Data MCP server (https://www.regdatalab.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every FDA Data MCP tool call.

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