The DynaSchedBench framework addresses challenges in dynamic scheduling by providing a calibrated environment for testing scheduling agents, revealing limitations in LLM-based approaches. Notably, it highlights an 'Observability Paradox' where more information can hinder performance, suggesting that current LLM agents may not outperform traditional heuristic methods.