Recent research indicates that traditional neural chain-of-thought reasoning struggles with deterministic tasks due to inherent architectural limitations, necessitating the use of tool delegation for improved performance. Tool-integrated reasoning has shown significantly higher accuracy across various models and tasks, suggesting a shift towards hybrid approaches in AI systems may be beneficial.