Tool Selection Strategies
Master intelligent tool selection algorithms and context analysis for effective AI agents
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The same query can have different meanings depending on context. "What's the weather?" could mean current local weather, destination weather for an upcoming trip, or weather alerts for travel planning. Smart agents analyze multiple context signals to interpret true intent.
Interactive: Context in Action
Active Context Type:
💬
Conversation History
Past messages provide intent clues
User Query:
"What's the weather like?"
Context Signals:
•I'm planning a trip
•What's the weather like?
•Book me a hotel
Interpretation:
User is trip planning → weather for destination
Selected Tool:
get_weather
Reasoning:
Conversation about trip suggests destination weather, not local
Confidence:88%
Context Layering Strategy
1
Parse User Query
Extract explicit intent from current message
2
Layer Conversation History
Add context from recent messages (3-5 turns)
3
Apply User Profile
Consider user preferences and past behavior
4
Add Environmental Signals
Factor in time, location, device constraints
5
Weighted Scoring
Combine all signals with appropriate weights
Key Context Insights
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Recent context weighs more: Last 3-5 messages matter most
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Explicit beats implicit: Direct mentions override historical patterns
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Context can conflict: Use confidence scores to resolve ambiguity
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Privacy matters: Balance personalization with user data protection