The VAKRA benchmark tests how AI agents handle complex tool use and multi-step reasoning. Researchers identified specific failure modes where agents loop indefinitely or ignore constraints. This data provides a blueprint for debugging agentic workflows. Practitioners can now target these precise logic gaps to improve reliability in autonomous systems.