get_product_recommendations

THE RISK

Low Risk

Why get_product_recommendations needs a policy

This is a read-only operation that queries product recommendation data. It has no side effects, does not modify any data, does not execute code or commands, and does not involve financial transactions. The blast radius of misuse is minimal—an agent could only receive irrelevant food recommendations, causing no harm to data or system state.

From the tool's definition Tool name 'get_product_recommendations' and the described purpose of 'Get' indicates a retrieval operation.

Documented attack patterns abuse exactly the kind of access get_product_recommendations gives an agent:

POLICY

How to control get_product_recommendations

PolicyLayer is an MCP gateway — it sits between your AI agents and Food402, and nothing reaches the server without passing your rules. This is the rule we recommend for get_product_recommendations:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_product_recommendations": {}
  }
}

get_product_recommendations is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Food402 — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Food402 tools

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_product_recommendations

What does the get_product_recommendations tool do? +

Get. It is categorised as a Read tool in the Food402 MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_product_recommendations? +

Register the Food402 MCP server in PolicyLayer and add a rule for get_product_recommendations: 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 Food402. Nothing to install.

What risk level is get_product_recommendations? +

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

Can I rate-limit get_product_recommendations? +

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

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

get_product_recommendations is provided by the Food402 MCP server (rersozlu/food402). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Food402 tool call.

Start from Food402, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →