AI engineering glossary · Agents tools MCP
What is agent autonomy level?
Agent autonomy level: A way of describing how much independence an agent has, from suggesting actions a person carries out, to acting only after approval, to acting alone and reporting afterwards. Teams pick a level per action type according to its risk and how reversible it is.
Agent autonomy level: an example
A finance agent may read invoices on its own (high autonomy) but needs a manager's click to pay any amount over Rs 50,000.
Related terms
More Agents tools MCP terms
- Agent benchmark
- Agent card
- Agent evaluation
- Agent handoff
- Agent loop
- Agent memory
- Agent observability
- Agent skills
Where you learn it
Agent autonomy level is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.