What is your approach to handling tool authorization in AI workflows?

Connecting third-party MCP servers makes desktop AI assistants way more capable but it opens up serious security risks if those servers aren't tightly scoped.

A tool meant for simple data lookups often carries dangerous write or delete permissions in the background. When those tools sit directly in the context window bad data or malicious prompts can lead to unintended actions without explicit approval.

If you're building or using custom MCP tools daily how are you validating actions before execution to keep your system safe?