Worked on stabilizing multi-agent workflows in the Shubhamsaboo/adk-python repository by addressing a critical issue in AgentTool related to user context propagation. The solution involved replacing a hardcoded user_id with a dynamic value sourced from the tool context, ensuring that user attribution is accurately maintained across both parent and child agents. This update improved the reliability and auditability of distributed agent actions, reducing the risk of cross-user operations and enhancing security. The work was implemented in Python, leveraging skills in agent development and context propagation to eliminate hard-coded dependencies and support user-specific action fidelity throughout the codebase.