Worked on enhancing the evaluation documentation for the NVIDIA-NeMo/RL repository, focusing on the DeepScaler evaluation workflow. Delivered a targeted update in Markdown that clarified missing arguments in example commands, specifically addressing the prompt file and maximum model length parameters. This documentation improvement aimed to reduce user misconfigurations and streamline onboarding for DeepScaler evaluations. Emphasized clear, reproducible instructions and maintained alignment with repository standards to ensure maintainable contributions. The work centered on documentation skills and effective communication of technical requirements, resulting in more accessible evaluation processes for new users and improved reproducibility for ongoing development within the NVIDIA-NeMo/RL project.