High Risk →

create_antifraud_analysis

Submit a standalone Antifraud analysis (POST /fraudanalysis) through Braspag

How to control create_antifraud_analysis ↓

What create_antifraud_analysis does on Mcp Afip

AI agents invoke create_antifraud_analysis to trigger actions in Mcp Afip. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

Why create_antifraud_analysis needs a policy

The tool submits data to an external fraud analysis service (Braspag) via POST, triggering an external operation whose effects (fraud scoring, transaction flagging) depend on the submitted arguments. This is an Execute-category action — it initiates an external process rather than merely reading or writing local data.

From the tool's definition Submit a standalone Antifraud analysis (POST /fraudanalysis) through Braspag

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

How to control create_antifraud_analysis

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_antifraud_analysis:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_antifraud_analysis": {
      "limits": [
        {
          "counter": "create_antifraud_analysis_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

create_antifraud_analysis stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Mcp Afip — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about create_antifraud_analysis

What does the create_antifraud_analysis tool do? +

Submit a standalone Antifraud analysis (POST /fraudanalysis) through Braspag. It is categorised as a Execute tool in the Mcp Afip MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on create_antifraud_analysis? +

Register the Mcp Afip MCP server in PolicyLayer and add a rule for create_antifraud_analysis: 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_antifraud_analysis? +

create_antifraud_analysis is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit create_antifraud_analysis? +

Yes. Add a rate_limit block to the create_antifraud_analysis 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_antifraud_analysis completely? +

Set action: deny in the PolicyLayer policy for create_antifraud_analysis. 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_antifraud_analysis? +

create_antifraud_analysis 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.

Enforce policy on every Mcp Afip tool call.

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.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.