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 Ap2 — usually the final step of a payment, billing, or trading workflow. A call moves real money.
This tool creates a payment consent object that will be authorized by the payer at their bank, directly initiating a financial transaction authorization chain. This falls squarely in the Financial category. Misuse by an AI agent could commit the user to unwanted payment obligations at the banking level, making severity critical.
From the tool's definition 'Create a payment consent that the payer will authorize at their bank' and 'POST /consents' — initiates a financial authorization flow tied to bank-level payment consent
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 Ap2, 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 Ap2 MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Mcp Ap2 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 Ap2. 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 Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Ap2, 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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