Update the next charge date of an existing recurrent payment
AI agents use update_recurrent_next_date 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 modifies the scheduling of recurrent (recurring) payments — a financial operation that directly affects when charges are triggered. Altering payment schedules can cause premature or delayed financial transactions, making it a Financial category tool with high severity due to potential misuse in manipulating billing cycles.
From the tool's definition Update the next charge date of an existing recurrent payment
Documented attack patterns abuse exactly the kind of access update_recurrent_next_date 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 update_recurrent_next_date:
{
"version": "1",
"default": "deny",
"tools": {
"update_recurrent_next_date": {
"deny_if": [
{
"conditions": [],
"on_deny": "Requires human approval."
}
]
}
}
} Any call to update_recurrent_next_date is blocked until a human approves it. The rest of the server keeps working.
Free to start. No card required.
Update the next charge date of an existing recurrent payment. 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 update_recurrent_next_date: 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.
update_recurrent_next_date 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 update_recurrent_next_date 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 update_recurrent_next_date. 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.
update_recurrent_next_date 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.
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