Retrieve the current state of an ACP checkout session, including status, pricing, and available payment methods
AI agents call get_checkout to retrieve information from Mcp Ap2 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves checkout session information without side effects. Although it operates in a financial domain (AP2 payment protocol), it performs a query operation only—retrieving existing data about a checkout session. No money moves, no data is created or deleted, and no external operations are triggered.
From the tool's definition Tool name 'get_checkout' and description 'Retrieve the current state' indicates a read-only operation. The description explicitly lists retrieval of status, pricing, and available payment methods with no mention of modifications, deletions, or financial…
Documented attack patterns abuse exactly the kind of access get_checkout gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Ap2, and nothing reaches the server without passing your rules. This is the rule we recommend for get_checkout:
{
"version": "1",
"default": "deny",
"tools": {
"get_checkout": {}
}
} get_checkout is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve the current state of an ACP checkout session, including status, pricing, and available payment methods. It is categorised as a Read tool in the Mcp Ap2 MCP Server, which means it retrieves data without modifying state.
Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for get_checkout: 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 Mcp Ap2. Nothing to install.
get_checkout 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_checkout 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_checkout. 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_checkout is provided by the Mcp Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Ap2, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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1300 Mcp Ap2 tools catalogued and risk-classified — across an index of 43,000+ MCP servers.