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Tool Selection Strategies

Master intelligent tool selection algorithms and context analysis for effective AI agents

Confidence Scoring: Quantifying Certainty

Not all tool selections are created equal. Sometimes the agent is 95% certain of the right tool. Other times, it's a coin flip between two options. Confidence scores quantify this certainty and guide agent behaviorโ€”when to act, when to ask, and when to refuse.

Confidence Spectrum

Interactive: Confidence Analysis

User Query:
"What's the weather in Tokyo tomorrow?"
Tool Ranking:
1. get_weather95%
2. search_web45%
Gap Analysis:
50 point difference (Clear winner)
Reasoning:
Clear intent, perfect tool match
Recommended Action:
Execute immediately

Interactive: Threshold Tuning

Adjust the confidence threshold to see how agent behavior changes

Confidence Threshold:75%
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Agent Behavior:
Execute with monitoring
โ‰ฅ 85%: Execute immediately without confirmation
70-84%: Execute but log for review
50-69%: Ask user for clarification
< 50%: Refuse and request more context

Confidence Calculation Factors

40%
Semantic Similarity
Embedding-based query-tool match score
25%
Gap to Second-Best
Distance between top two candidates
20%
Context Alignment
How well tool fits conversation context
15%
Historical Success
Tool's past performance in similar contexts