Search for available AI tools by keyword or capability. Returns matching tools with descriptions, methods, and per-call pricing. Use this to find what tools are available before calling them.
AI agents call discover_tools 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 queries a catalog of available tools and returns read-only information about their descriptions, methods, and pricing. It performs no mutations, executions, financial transactions, or destructive operations. Despite the financial context of the AgentPay server, this specific tool only retrieves metadata and carries minimal risk if misused by an agent.
From the tool's definition Tool description states it 'Search[es] for available AI tools' and 'Returns matching tools with descriptions, methods, and per-call pricing.' The verb 'search' and 'returns' indicate data retrieval with no modifications or side effects.
Attacks that exploit this kind of access
Search for available AI tools by keyword or capability. Returns matching tools with descriptions, methods, and per-call pricing. Use this to find what tools are available before calling them. 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 discover_tools: 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.
discover_tools 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 discover_tools 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 discover_tools. 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.
discover_tools 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.
Teams ship this data inside their own products. See what a licence covers →