Question

Your team deployed a FastMCP server that exposes several tools to an LLM-based conversational agent used by multiple network engineers. After an unexpected interface shutdown on a production router, the incident review team asks which engineer's chat session triggered the change and what parameters the agent passed to the tool. The current MCP server only logs 'tool invoked successfully' with no other context. Which improvement to the MCP server best enables this after-the-fact attribution and forensic analysis?

Accepted Answer

Add structured audit logging on each tool call that records the caller/session identifier, tool name, input arguments, timestamp, and result, and forward these logs to a centralized store

Answer

Lower the LLM temperature to zero so the agent produces deterministic tool calls that can be reproduced later

Answer

Wrap every tool in a human-in-the-loop confirmation prompt before execution

Answer

Restrict the MCP tool scope to read-only operations so no state-changing calls are possible