The VAKRA framework evaluates how AI agents reason and utilize tools during complex tasks. Researchers identified specific failure modes where agents struggle with long-term planning and error recovery. These findings highlight a gap between basic tool calling and true autonomy. Developers can use these benchmarks to refine agentic workflows and reduce hallucinated tool arguments.