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MCP Tool Integration & DSPy Optimization
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Build a Context-Aware Personal Knowledge Agent
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Linked challenge
Build a Context-Aware Personal Knowledge Agent
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
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0 checklist items
Develop at least two MCP-enabled tools that simulate real-world actions (e.g., 'send_email', 'create_calendar_event'). Integrate these tools into your LangGraph agent. Then, use DSPy to programmatically define signature and optimize prompts for extracting tool parameters from user requests and generated context. Evaluate the robustness of tool parameter extraction.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Hold the task contract and output shape stable so generated implementations remain comparable.
Tune next
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Verify after
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.