EComAgentBench introduces a benchmark of 662 real Amazon tasks that scatter shopper requirements across query, profile, and clarification. Agents must uncover hidden intent, verify candidates with evidence, and commit to a product within 100 tool calls, with typed rubrics attributing failures to specific requirement sources. Evaluation shows even top models achieve only 57.1% accuracy, and rubric satisfaction drops when intent is hidden.