Nimantha Cooray enhanced the google/adk-python repository by developing a feature that improves the readability of agent evaluation outputs. He addressed the issue of long text values wrapping in detailed output tables by enforcing a maximum column width using the tabulate library, which streamlines data formatting and reduces manual parsing for users. His technical approach involved Python-based code changes, manual end-to-end validation, and updates to unit tests to ensure reliability. By documenting testing steps and references, Nimantha supported downstream testing and maintainability. This work demonstrates depth in debugging and data formatting, resulting in more reliable and user-friendly agent evaluation reporting.