The VAKRA framework evaluates how AI agents handle complex tool use and multi-step reasoning. Researchers identified specific failure modes where agents loop indefinitely or ignore constraints. This analysis provides a blueprint for debugging agentic workflows. Practitioners can use these insights to build more robust error-handling mechanisms in autonomous systems.