Permission Boundaries

Overview

This pattern addresses the critical risk of AI agents having excessive permissions, which can lead to irreversible actions (like deleting branches or modifying production data) even with perfect prompts. The core principle is to enforce restrictions before any tool call, rather than reacting to damage afterward.

Capabilities

• Tool Filtering: Restricts the set of tools visible to the model in the first layer.
• Runtime Blocking: Intercepts and validates actions at runtime against defined constraints.
• Confirmation Gates: Implements explicit approval steps for high-impact operations, requiring human sign-off before execution.