DEV Community

Cover image for What to Log When an Agent Calls a Tool: AI Agent Audit Trail Schema
Obot AI
Obot AI

Posted on Originally published at obot.ai

What to Log When an Agent Calls a Tool: AI Agent Audit Trail Schema

By Stein Ove Helset, Obot AI

At some point if you're running AI agents, something in your system changes and you have no idea if it was the agent, a person, or something else. You go back to check — and all you have is the chat history.

But Chat history isn't an audit trail.

It tells you what the user asked for. It doesn't tell you which tool was called, with what arguments, what came back, how long it took, or what policy decision let it through. When something goes wrong — or an auditor asks — that's the record you actually need.

This post is a practical guide to what to log for every AI agent tool call: a full schema you can copy (with field-by-field explanation of why each one matters), where to store it, and how long to keep it. It also covers why the gateway layer like Obot is usually a better place to write these records than inside each MCP server individually.

📓 Read the full article

Originally published on Obot AI

Top comments (0)