Add items to the shopping cart. Requires select_address to be called first.
AI agents use add_to_basket to create or update resources in Food402 — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Food402 environment.
Adding items to a shopping cart is a write operation—it creates or modifies data (the basket contents) reversibly. This is not destructive since items can be removed. While the server's overall context involves financial transactions (food ordering), this specific tool merely populates a basket; financial commitment occurs only at checkout.
From the tool's definition Tool description states 'Add items to the shopping cart' which is a reversible modification operation. The tool modifies cart state by adding items, which can be undone via clear_basket or by removing items.
Documented attack patterns abuse exactly the kind of access add_to_basket 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 add_to_basket:
{
"version": "1",
"default": "deny",
"tools": {
"add_to_basket": {
"limits": [
{
"counter": "add_to_basket_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} add_to_basket stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Add items to the shopping cart. Requires select_address to be called first. It is categorised as a Write tool in the Food402 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Food402 MCP server in PolicyLayer and add a rule for add_to_basket: 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.
add_to_basket is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the add_to_basket 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 add_to_basket. 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.
add_to_basket 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.
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22 Food402 tools catalogued and risk-classified — across an index of 43,000+ MCP servers.