Teach models to select and invoke external tools based on task requirements.
01 The Concept
Tool-use prompting gives models access to external functions (search, calculator, database) and teaches them to identify when a tool is needed, select the right one, format the call correctly, and interpret the results to continue reasoning.
02 Weak vs. Strong
EX 01Agentic Tool Use Prompting Blueprint
Implement Agentic Tool Use Prompting using systematic, validated approaches with clear documentation and testing criteria.
→ Why it works
Structured Agentic Tool Use Prompting produces more reliable, maintainable, and measurable results.
03 Key Points
01Tool definitions: Describing available tools with their parameters and return types.
02Selection logic: Teaching models when each tool is appropriate to use.
03Call formatting: Structuring tool invocations in parseable function-call syntax.
04Result interpretation: Using tool outputs as context for continued reasoning.
05Error handling: Defining fallback behavior when tool calls fail.
04 Model-Specific Notes
Claude handles Agentic Tool Use Prompting tasks with excellent instruction compliance and structured output formatting.
05 For Your Role
Think of Agentic Tool Use Prompting as organizing your work systematically so every step is clear and repeatable.