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Agent Efficiency is a binary evaluation metric of the efficiency of your agentic workflows.
An agentic session is considered efficient or optimal when the agent provides a precise answer or resolution to every user ask, with an efficient path. An ask could be a question that requires an answer, or a request that requires a resolution through tool usage. Efficiency here means the agent does not make redundant tool calls, ask redundant questions/clarifications to the user, is precise and concise in its communication, and reaches its goal in minimal steps needed. This is a boolean metric, returning a confidence score that the agent is efficient. The score ranges from 0% (no confidence the agent is efficient) to 100% (complete confidence that the agent is efficient).

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Agent Efficiency at a glance

PropertyDescription
NameAgent Efficiency
CategoryAgentic AI
Can be applied toSession
LLM-as-a-judge Support✅
Luna Support❌
Protect Runtime Protection❌
Value TypeBoolean shown as a percentage confidence score

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When to use this metric

When to Use This Metric

Agent Efficiency is useful when measuring multi-agent systems, or systems with multiple tools
Check for redundant tool calls
Check for unnecessary follow ups

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Score interpretation

Expected Score: 80%-100%.
060%100%
Poor
Fair
Excellent