High Risk →

evaluate_order

Submit an order to Legiti for real-time fraud evaluation via the v2 order endpoint. Returns a decision (approve / reject / manual) synchronously — response may take up to ~20s. Include as much context as possible: account, payment (tokenized card bin+last4), CPF, billing/shipping, and for ticketi...

How to control evaluate_order ↓

What evaluate_order does on Mcp Afip

AI agents invoke evaluate_order 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 evaluate_order needs a policy

This tool submits an order to an external fraud evaluation service and triggers a real-time decision (approve/reject/manual) that affects order processing. It is an external operation whose effects depend on arguments — making it Execute. The severity is high because misuse could cause legitimate orders to be rejected or fraudulent ones approved, with downstream financial and operational consequences.

From the tool's definition 'Submit an order to Legiti for real-time fraud evaluation via the v2 order endpoint. Returns a decision (approve / reject / manual) synchronously'

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

How to control evaluate_order

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 evaluate_order:

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

evaluate_order 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.
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Related tools and policies

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Questions about evaluate_order

What does the evaluate_order tool do? +

Submit an order to Legiti for real-time fraud evaluation via the v2 order endpoint. Returns a decision (approve / reject / manual) synchronously — response may take up to ~20s. Include as much context as possible: account, payment (tokenized card bin+last4), CPF, billing/shipping, and for ticketing flows the event_date_id / sale_items. 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 evaluate_order? +

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

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

Can I rate-limit evaluate_order? +

Yes. Add a rate_limit block to the evaluate_order 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 evaluate_order completely? +

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

evaluate_order 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.

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