Create a Checkout session (used by Drop-in and Web Components to load methods + handle the full flow client-side).
AI agents invoke create_session 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.
Creating a checkout session initiates a payment flow that can lead to financial transactions. While it doesn't directly move money, it sets up and triggers the full payment handling process client-side. This sits between Execute and Financial; given it 'handles the full flow' including payment methods, it could facilitate financial commitments.
From the tool's definition Create a Checkout session (used by Drop-in and Web Components to load methods + handle the full flow client-side)
Documented attack patterns abuse exactly the kind of access create_session gives an agent:
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_session:
{
"version": "1",
"default": "deny",
"tools": {
"create_session": {
"limits": [
{
"counter": "create_session_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} create_session 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.
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Create a Checkout session (used by Drop-in and Web Components to load methods + handle the full flow client-side). 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.
Register the Mcp Afip MCP server in PolicyLayer and add a rule for create_session: 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.
create_session is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the create_session 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_session. 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_session 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.
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.