ToolHACE: A Dataset for Detecting Hallucinations in Tool-Based LLM Responses

Tool-augmented language models ground their responses in external tool outputs, improving reliability beyond parametric knowledge alone. However, even when the correct tool is called and returns accurate information, models may still contradict such outputs, omit critical details, or generate unsupp