One feature if LLMs can provide: It can give feedback about how good the prompt was from the user (e.g how clear or less ambiguous was it for LLM to understand what user is asking or some other degree)
There might be a tiny ghost in an LLM machine, but it's very unlikely that it has the degree of self-awareness required to assess whether or not a prompt was, in its own experience, unambiguous. It's a reflection of its training data, and it has no or little sense of self.