Although large language models are frequently used by developers to generate confidence scores for their outputs, relying on these self-reported probabilities is fundamentally flawed. The author argues that LLMs cannot accurately assess their own certainty, meaning agent designers should avoid trusting these numbers when evaluating model reliability.