List payouts with optional filters
AI agents call list_payouts 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.
This tool retrieves and queries payout information without creating, modifying, or deleting data. Although it relates to financial data (payouts), it performs only read access—viewing transaction history rather than moving money or committing financial obligations. The Read category is most appropriate; severity is low because listing payouts has minimal blast radius compared to executing payments or transfers.
From the tool's definition Tool is named 'list_payouts' and described as 'List payouts with optional filters'. The verb 'list' indicates a retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access list_payouts 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 list_payouts:
{
"version": "1",
"default": "deny",
"tools": {
"list_payouts": {}
}
} list_payouts is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List payouts with optional filters. 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 list_payouts: 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.
list_payouts 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 list_payouts 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 list_payouts. 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.
list_payouts 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.
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