When an error happens it's the best time to teach the user something. If you can figure it what they were trying to do something, you can tell them why what they tried to do doesn't work, and what to try instead.
With LLM's And Reason-Act agents on the table, this is more higher stakes than ever, AI has no issues on reading stack traces or verbose error logs where a human might have overlooked before, and it creates a really nice loop if the AI can reason with new context provider by the error messages