get_checkout

THE RISK

Low Risk

Why get_checkout needs a policy

get_checkout retrieves checkout session data (status, pricing, payment methods) for inspection only. This is a Read operation with minimal blast radius—an AI agent misusing it would at worst retrieve stale or unintended checkout information, but cannot commit transactions, modify orders, or cause financial harm via this tool alone.

From the tool's definition Tool description states 'Retrieve the current state' — a retrieval operation with no mutation. No mention of modifications, deletions, or side effects.

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

POLICY

How to control get_checkout

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 get_checkout:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_checkout": {}
  }
}

get_checkout is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

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.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

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All 1300 Mcp Afip tools →

Read tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_checkout

What does the get_checkout tool do? +

Retrieve the current state of an ACP checkout session, including status, pricing, and available payment methods. It is categorised as a Read tool in the Mcp Afip MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_checkout? +

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

get_checkout is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_checkout? +

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

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

get_checkout 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.

CHECK YOUR STACK →