policy-engine-builder

To create TOML rules for the Gemini CLI Policy Engine, define fields for specific tools, commands, and arguments, then establish execution permissions using decision types like allow, deny, or ask_user.

The priority system in Gemini CLI security policies uses rule tiers to determine execution order, ensuring higher-priority TOML rules are evaluated first to manage tool access and approval workflows effectively.

Yes, you can control access to specific MCP servers using TOML rules by defining targeted server rules within the Gemini CLI Policy Engine to manage AI agent interactions and permissions.

To block shell commands starting with 'rm -rf' in Gemini CLI, construct a TOML rule that matches the specific tool and arguments, then assign a deny decision type to prevent execution.

The Gemini CLI Policy Engine supports three decision types for tool execution permissions: allow, deny, and ask_user, which facilitate the creation of security policies and approval workflows.

The best way to manage AI agent tool permissions with TOML is using the Gemini CLI Policy Engine to match specific tools and arguments, applying priority tiers and decision types for fine-grained access control.