AI agents call get_usage to retrieve information from AgentPay without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays usage logs and billing history. It performs no modifications, deletions, or external operations. The read-only nature and limited blast radius (exposure of usage metadata) place it in the Read category with low severity.
From the tool's definition Tool description states 'View your recent tool call history' — a retrieval operation with no side effects. It queries historical data about tool calls, costs, and timestamps.
Attacks that exploit this kind of access
View your recent tool call history — which tools you called, what methods, how much each cost, and when. It is categorised as a Read tool in the AgentPay MCP Server, which means it retrieves data without modifying state.
Register the AgentPay MCP server in PolicyLayer and add a rule for get_usage: 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 AgentPay. Nothing to install.
get_usage 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 get_usage 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 get_usage. 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.
get_usage is provided by the AgentPay MCP server (joepangallo/mcp-server-agentpay). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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