Get basket ready for checkout with payment context. Call this before placing an order.
AI agents use checkout_ready to commit financial operations through Food402 — usually the final step of a payment, billing, or trading workflow. A call moves real money.
This tool prepares a basket for financial transaction (food order payment). While it may not finalize the payment itself, it is a direct precursor to committing a financial obligation and operates within a payment context. Misuse could lead to unintended purchases, placing it in the Financial category with high severity.
From the tool's definition 'Get basket ready for checkout with payment context. Call this before placing an order.' - directly initiates the checkout/payment flow for food orders
Documented attack patterns abuse exactly the kind of access checkout_ready 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 checkout_ready:
{
"version": "1",
"default": "deny",
"tools": {
"checkout_ready": {
"deny_if": [
{
"conditions": [],
"on_deny": "Requires human approval."
}
]
}
}
} Any call to checkout_ready is blocked until a human approves it. The rest of the server keeps working.
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Get basket ready for checkout with payment context. Call this before placing an order. It is categorised as a Financial tool in the Food402 MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Food402 MCP server in PolicyLayer and add a rule for checkout_ready: 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.
checkout_ready is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the checkout_ready 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 checkout_ready. 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.
checkout_ready 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.