What we do in practice is let the team mark a few tool calls as right or wrong in context, then use that to learn the pattern for that agent. From there, we can flag similar cases automatically by looking at the convo state, the tool chosen, the arguments, and what happened next.

So we’re learning what “correct” looks like for your workflow and then catching repeats of the same kind of mistake.