Extract the selected code range into a new function. TypeScript auto-detects parameters and return type. The response includes renameFilename/renameLocation so you can follow up with rename_symbol to give the function a meaningful name.
AI agents call extractFunction to retrieve information from Ts without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though extractFunction only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
Extract the selected code range into a new function. TypeScript auto-detects parameters and return type. The response includes renameFilename/renameLocation so you can follow up with rename_symbol to give the function a meaningful name. It is categorised as a Read tool in the Ts MCP Server, which means it retrieves data without modifying state.
Register the Ts MCP server in PolicyLayer and add a rule for extractFunction: 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 Ts. Nothing to install.
extractFunction 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 extractFunction 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 extractFunction. 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.
extractFunction is provided by the Ts MCP server (ts-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.