Predict whether a payment is likely to succeed for a given payer+amount+bank, and recommend the best bank/rail. Call before create_payment to improve conversion for large or edge-case transfers.
AI agents call predict_payment to retrieve information from Mcp Ap2 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The predict_payment tool is a read-only analytical function that queries payment feasibility and provides recommendations. It has no side effects—it does not move money, create charges, or commit financial obligations. The actual payment execution is deferred to a separate create_payment tool.
From the tool's definition Tool description states it 'predict[s]' and 'recommend[s]' outcomes without executing payments. It is explicitly called 'before create_payment', indicating it only analyzes and returns predictions/recommendations rather than committing financial transactions.
Documented attack patterns abuse exactly the kind of access predict_payment 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 predict_payment:
{
"version": "1",
"default": "deny",
"tools": {
"predict_payment": {}
}
}predict_payment is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Predict whether a payment is likely to succeed for a given payer+amount+bank, and recommend the best bank/rail. Call before create_payment to improve conversion for large or edge-case transfers. It is categorised as a Read tool in the Mcp Ap2 MCP Server, which means it retrieves data without modifying state.
Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for predict_payment: 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.
predict_payment is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the predict_payment 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 predict_payment. 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.
predict_payment 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.