What Is Capability Pruning?

A practical term for agent control

AI agents increasingly use tools, APIs, files, databases, browsers, memory, and workflows. Every added capability can make the agent more useful, but it can also increase risk, cost, complexity, and the chance of exposing unnecessary context.

Capability pruning describes the practice of making fewer capabilities available at the right moment. Instead of giving an agent every possible tool for every task, a system can narrow active access based on the current task, risk level, policy, and user intent.

In plain language, capability pruning can support AI agents through runtime control, tool access control, context minimization, and permission management. It may help teams reduce errors, manage cost, and keep sensitive context away from tasks that do not need it.

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