Complete an ACP checkout by submitting a payment token. Finalizes the order with the seller. The checkout must be in
AI agents use complete_checkout to commit financial operations through Mcp Afip — usually the final step of a payment, billing, or trading workflow. A call moves real money.
This tool finalizes a financial transaction by submitting a payment token and completing a checkout, which directly commits a financial obligation (purchase order) with a seller. This falls squarely in the Financial category. Misuse by an AI agent could result in unauthorized purchases being completed, hence critical severity.
From the tool's definition Complete an ACP checkout by submitting a payment token. Finalizes the order with the seller.
Documented attack patterns abuse exactly the kind of access complete_checkout gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Afip, and nothing reaches the server without passing your rules. This is the rule we recommend for complete_checkout:
{
"version": "1",
"default": "deny",
"tools": {
"complete_checkout": {
"deny_if": [
{
"conditions": [],
"on_deny": "Requires human approval."
}
]
}
}
} Any call to complete_checkout is blocked until a human approves it. The rest of the server keeps working.
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Complete an ACP checkout by submitting a payment token. Finalizes the order with the seller. The checkout must be in. It is categorised as a Financial tool in the Mcp Afip MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Mcp Afip MCP server in PolicyLayer and add a rule for complete_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 Afip. Nothing to install.
complete_checkout 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 complete_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 complete_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.
complete_checkout is provided by the Mcp Afip MCP server (codespar/mcp-dev-latam). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Afip, 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.
1300 Mcp Afip tools catalogued and risk-classified — across an index of 43,000+ MCP servers.