// MCP TOOL REFERENCE

create_batch_payout

ServerMcp Afip
CategoryFinancial

WHAT IT DOES

What create_batch_payout does on Mcp Afip

AI agents use create_batch_payout to commit financial operations through Mcp Afip — usually the final step of a payment, billing, or trading workflow. A call moves real money.

THE RISK

Critical Risk

Why create_batch_payout needs a policy

This tool directly moves money by creating batch payouts to multiple receivers. It is a Financial action with critical severity because misuse could result in large-scale unauthorized financial transfers that are difficult or impossible to reverse.

From the tool's definition 'Create a batch payout via POST /v1/payments/payouts' — initiates real monetary payouts to multiple recipients with amount, currency, and value fields

Documented attack patterns abuse exactly the kind of access create_batch_payout gives an agent:

POLICY

How to control create_batch_payout

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_batch_payout:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_batch_payout": {
      "deny_if": [
        {
          "conditions": [],
          "on_deny": "Requires human approval."
        }
      ]
    }
  }
}

Any call to create_batch_payout is blocked until a human approves it. The rest of the server keeps working.

Create a free account and register Mcp Afip — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

Related tools and policies

More Mcp Afip tools

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All 1300 Mcp Afip tools →

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Go deeper

Critical-risk tools in Mcp Afip → Every critical-risk tool this server exposes, in one view.
All critical-risk MCP tools → Every critical-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Human-in-the-loop → When a tool call should wait for a person — and when policy can decide alone.
Tool call approval → Approval gates on individual tool calls: auto-allow, prompt, or deny.
How to Add Spending Controls to Any MCP Agent →
Rate Limiting MCP Tool Calls: A Practical Guide →

FAQ

Questions about create_batch_payout

What does the create_batch_payout tool do? +

Create a batch payout via POST /v1/payments/payouts. sender_batch_header carries metadata; items is an array of payout_item objects each with recipient_type, amount { currency, value }, receiver, and note. Async — poll get_payout to track status. 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.

How do I enforce a policy on create_batch_payout? +

Register the Mcp Afip MCP server in PolicyLayer and add a rule for create_batch_payout: 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.

What risk level is create_batch_payout? +

create_batch_payout is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit create_batch_payout? +

Yes. Add a rate_limit block to the create_batch_payout 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.

How do I block create_batch_payout completely? +

Set action: deny in the PolicyLayer policy for create_batch_payout. 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.

What MCP server provides create_batch_payout? +

create_batch_payout 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.

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