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 misinterpret tool outputs. This analysis provides a benchmark for improving reliability in autonomous systems. Developers can now pinpoint exactly where agentic workflows break down during execution to refine prompt engineering.