Documentation Index
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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).
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
Agent Efficiency is useful when measuring multi-agent systems, or systems with multiple tools
Score interpretation
Expected Score: 80%-100%.