We conclude with key principles for writing high-quality tools we’ve identified along the way:

• Choosing the right tools to implement (and not to implement)


• Namespacing tools to define clear boundaries in functionality


• Returning meaningful context from tools back to agents


• Optimizing tool responses for token efficiency


• Prompt-engineering tool

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Rather than one agent attempting to maintain state across an entire project, specialized sub-agents can handle focused tasks with clean context windows. The main agent coordinates with a high-level plan while subagents perform deep technical work or use tools to find relevant information. Each subagent might explore extensively, using tens of... See more