Create a payment consent that the payer will authorize at their bank. Iniciador endpoint: POST /consents.
AI agents use create_consent 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 initiates a payment consent flow at a bank, which is a financial operation that commits the payer to authorizing a payment. Even though the consent requires payer authorization, creating it is the first step in a financial transaction chain, making it Financial category with critical severity due to the potential for misuse in unauthorized payment initiation.
From the tool's definition Create a payment consent that the payer will authorize at their bank. Iniciador endpoint: POST /consents.
Documented attack patterns abuse exactly the kind of access create_consent 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 create_consent:
{
"version": "1",
"default": "deny",
"tools": {
"create_consent": {
"deny_if": [
{
"conditions": [],
"on_deny": "Requires human approval."
}
]
}
}
} Any call to create_consent is blocked until a human approves it. The rest of the server keeps working.
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Create a payment consent that the payer will authorize at their bank. Iniciador endpoint: POST /consents. 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 create_consent: 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.
create_consent 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 create_consent 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 create_consent. 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.
create_consent 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.
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