Request a return or refund for a delivered order
AI agents use request_return to commit financial operations through Mcp Afip — usually the final step of a payment, billing, or trading workflow. A call moves real money.
Requesting a return or refund directly triggers a financial obligation or reversal of a financial transaction. This falls under the Financial category as it commits to reversing payment or goods in exchange for money back. The blast radius is high since an AI agent could mistakenly initiate refund requests on legitimate orders, causing financial loss.
From the tool's definition "Request a return or refund for a delivered order" — initiates a financial refund/return process
Documented attack patterns abuse exactly the kind of access request_return 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 request_return:
{
"version": "1",
"default": "deny",
"tools": {
"request_return": {
"deny_if": [
{
"conditions": [],
"on_deny": "Requires human approval."
}
]
}
}
} Any call to request_return is blocked until a human approves it. The rest of the server keeps working.
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Request a return or refund for a delivered order. 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 request_return: 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.
request_return 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 request_return 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 request_return. 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.
request_return 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.