The VAKRA framework evaluates how AI agents utilize tools and reason through complex tasks. Researchers identified specific failure modes where agents loop indefinitely or misinterpret tool outputs. These findings provide a blueprint for debugging agentic workflows. Developers can now pinpoint exactly where reasoning breaks down to improve reliability in autonomous systems.