Worked on the langchain-ai/langgraph repository to enhance developer onboarding by improving documentation for the tool-calling agent. Focused on clarifying that the agent functions as a tool by adding a missing decorator in the Python code snippets and updating Markdown documentation to accurately reflect tool usage. This approach reduced user confusion and aligned onboarding examples with actual agent behavior, streamlining the integration process for new developers. Leveraged skills in Python and documentation to ensure that usage examples matched real-world scenarios, ultimately decreasing support inquiries and making it easier for developers to adopt and utilize the tool-calling agent effectively.