EASEL Benchmark Evaluates Dexterous Visual Tool Use in Agents
August 25, 2026
EASEL introduces a benchmark for fine-grained, closed-loop visual tool use via a reference-guided painting task. It moves beyond static QA to measure how accurately agents infer tool parameters from visual evidence to execute precise actions.
HOW THIS AFFECTS YOU
●
builderThis provides a framework for testing the precision of agents interacting with physical or digital tools.
●
researcherYou can use this to evaluate how well multimodal models handle parameterized visual actions.