When to Use an Agent complex workflows multiple decision steps tool orchestration When NOT to Use an Agent simple automation no reasoning required direct workflows Why This Matters Using an agent when not needed: increases complexity reduces efficiency
Why Tools Matter Well-designed tools: improve accuracy reduce cost enable scalability Poor Tool Design too much data unclear structure confusing outputs Best Practices manage tool outputs keep structure consistent handle errors properly Tool Output Impact large outputs increase token usage affects performance and cost Designing Effective Tools for AI Agents Why Tools Matter Well-designed tools: improve accuracy reduce cost enable scalability Poor Tool Design too much data unclear structure confusing outputs Best Practices manage tool outputs keep structure consistent handle errors properly Tool Output Impact large outputs increase token usage affects performance and cost
Context Windows, Tokens & Limits Context Window The context window is the maximum amount of information an AI model can process at once. What It Includes system prompt conversation history tool outputs tool definitions Why It’s Critical context accumulates automatically it consumes token budget overflow reduces performance Context Trade-offs Smaller Context more selective requires careful prompting Larger Context more flexibility but more complexity and noise Token Behaviour more context ≠always better more tokens = higher cost diminishing returns after a point
