Implement A2A Communication and MCP Tools

implementationChallengeOctober 20, 2025

Prompt Content

Implement the A2A communication layer between your agents, ensuring asynchronous message passing and state updates. Concurrently, develop placeholder 'tools' (Python functions) that simulate the Benchling API and a generic spectrometer, making them MCP-enabled. Demonstrate how your 'Experiment Designer' agent will invoke these tools through the MCP and parse their simulated outputs.

Usage Tips

Copy the prompt and paste it into your preferred AI tool (Claude, ChatGPT, Gemini)

Customize placeholder values with your specific requirements and context

For best results, provide clear examples and test different variations