Agent Efficiency

Learn how to measure the efficiency of your agentic workflows

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).

Agent Efficiency at a glance

Property	Description
Name	Agent Efficiency
Category	Agentic AI
Can be applied to	Session
LLM-as-a-judge Support	✅
Luna Support	❌
Protect Runtime Protection	❌
Value Type	Boolean shown as a percentage confidence score

When to use this metric

When to Use This Metric

Agent Efficiency is useful when measuring multi-agent systems, or systems with multiple tools

Score interpretation

Expected Score: 80%-100%.

0

60%

100%

Poor

Fair

Excellent