AI agents need a clear set of tools and instructions to perform tasks well. The way you define these tools and format their results can make a big difference. This skill teaches you how to design better action spaces for your agent.
You will learn about observation design, error recovery, and context budgeting. Each tool response should include a status, summary, and next steps. This helps your agent recover from mistakes quickly.
The goal is to boost your agent's completion rate and reduce retries. You will also learn which architecture pattern works best for your task. Use this knowledge to build more reliable AI agents.
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