MM-ToolBench is a new benchmark designed to evaluate tool-using agents in realistic workflows, focusing on multimodal inputs and closed-loop verification. Despite its advanced capabilities, current leading models struggle to meet human performance benchmarks, indicating room for improvement in AI tool usage.