Run a standalone FraudSight assessment on a payment method (no authorization). Returns a score and recommendation.
AI agents invoke fraud_screen to trigger actions in Mcp Ap2. 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.
This tool executes an external fraud assessment service against a payment method. While it does not move money or authorize a transaction ('no authorization'), it runs an active external operation whose effects (scoring, flagging, logging) depend on the arguments provided.
From the tool's definition 'Run a standalone FraudSight assessment on a payment method' — triggers an external fraud screening operation against a payment method
Documented attack patterns abuse exactly the kind of access fraud_screen gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Ap2, and nothing reaches the server without passing your rules. This is the rule we recommend for fraud_screen:
{
"version": "1",
"default": "deny",
"tools": {
"fraud_screen": {
"limits": [
{
"counter": "fraud_screen_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} fraud_screen 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.
Free to start. No card required.
Run a standalone FraudSight assessment on a payment method (no authorization). Returns a score and recommendation. It is categorised as a Execute tool in the Mcp Ap2 MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for fraud_screen: 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 Ap2. Nothing to install.
fraud_screen 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 fraud_screen 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 fraud_screen. 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.
fraud_screen is provided by the Mcp Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Ap2, 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 Ap2 tools catalogued and risk-classified — across an index of 43,000+ MCP servers.