List restaurants near a location. Requires select_address first. Each restaurant includes: rating, distance, minBasketPrice, averageDeliveryInterval. SORTING OPTIONS: -
AI agents call get_restaurants to retrieve information from Food402 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and displays restaurant information (rating, distance, minBasketPrice, averageDeliveryInterval) based on a selected address. It has no side effects, does not modify data, does not execute code or commands, and does not process payments. This is a straightforward read operation with minimal risk even if misused by an AI agent, as it only returns informational data about available restaurants.
From the tool's definition Tool name is 'get_restaurants' and description states 'List restaurants near a location.' This is a retrieval operation that queries and returns restaurant data without modifying, executing external operations, or committing financial obligations.
Documented attack patterns abuse exactly the kind of access get_restaurants gives an agent:
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_restaurants:
{
"version": "1",
"default": "deny",
"tools": {
"get_restaurants": {}
}
}get_restaurants is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List restaurants near a location. Requires select_address first. Each restaurant includes: rating, distance, minBasketPrice, averageDeliveryInterval. SORTING OPTIONS: -. It is categorised as a Read tool in the Food402 MCP Server, which means it retrieves data without modifying state.
Register the Food402 MCP server in PolicyLayer and add a rule for get_restaurants: 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.
get_restaurants 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 get_restaurants 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 get_restaurants. 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.
get_restaurants 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.
Start from Food402, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
22 Food402 tools catalogued and risk-classified — across an index of 43,000+ MCP servers.