What problem does it solve?
Tool-using agents can fail or behave unpredictably when they need to call tools sequentially, run multiple tools in parallel, recover from tool errors, or continue an agentic loop until completion.
Core Features & Use Cases
- Agentic loop control: Repeatedly call Claude with tool definitions until the model signals it’s done, then apply tool results back into the conversation.
- Robust error handling: Return tool results marked with an error flag so the agent can gracefully adapt when a tool fails (e.g., missing file, invalid input).
- Parallel tool execution: Enable the model to request multiple tools in a single turn and execute them concurrently, returning all tool outputs together.
- Best-practice tool specs: Keep tool descriptions concise, encode parameter constraints in the schema, and prefer structured tool outputs for reliable downstream reasoning.
Quick Start
Instruct your agent to “Plan a tool-assisted task using these tool-use patterns, run any requested tools (including parallel calls), and continue the agentic loop until you reach an end_turn response.”