Schedule a future-dated payment (Pix, boleto, arrecadação, or TED). Itaú executes the debit on the scheduled date at D+0 cut-off.
AI agents use schedule_payment 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 schedules real financial payment transactions (Pix, boleto, TED) that result in actual money movement from an account. The debit is executed by Itaú bank on the scheduled date, committing a financial obligation. Misuse by an AI agent could result in unauthorized payments of arbitrary amounts, making this a critical financial risk.
From the tool's definition Schedule a future-dated payment (Pix, boleto, arrecadação, or TED). Itaú executes the debit on the scheduled date at D+0 cut-off.
Documented attack patterns abuse exactly the kind of access schedule_payment 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 schedule_payment:
{
"version": "1",
"default": "deny",
"tools": {
"schedule_payment": {
"deny_if": [
{
"conditions": [],
"on_deny": "Requires human approval."
}
]
}
}
} Any call to schedule_payment is blocked until a human approves it. The rest of the server keeps working.
Free to start. No card required.
Schedule a future-dated payment (Pix, boleto, arrecadação, or TED). Itaú executes the debit on the scheduled date at D+0 cut-off. 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 schedule_payment: 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.
schedule_payment 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 schedule_payment 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 schedule_payment. 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.
schedule_payment 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.