Worked on the jlowin/fastmcp repository to enhance reliability and data integrity in backend tool result processing. Addressed a critical bug by refining the extraction path for user information, ensuring that downstream scripts could reliably access data even when CallToolResult was not scriptable. This solution involved implementing robust data access logic using Python, with a focus on asynchronous programming and API integration. The update reduced automation failures and improved workflow stability for consumers of tool results. Demonstrated careful reasoning about data structures and maintainability, delivering a targeted fix that improved the overall robustness of backend processes without introducing new features.