DEV CommunityFriday · July 10, 2026FREE

AI Agent Runtime Policy: Stop Dangerous Tool Calls Before They Execute

The article presents a runtime policy framework for AI agents that enables developers to stop dangerous tool calls before they execute. The system works by intercepting tool calls made by an AI agent and evaluating them against a predefined policy. If a call violates the policy, it is blocked before any action is taken. The author demonstrates this using a simple example where an AI agent attempts to delete a file, and the policy prevents the deletion. The framework is designed to be flexible, allowing developers to define rules based on the tool name, arguments, or other context. The article emphasizes the importance of runtime safety for AI agents, especially as they gain more autonomy and access to powerful tools. The implementation is shown in Python, using a decorator pattern to wrap tool functions with policy checks. The author argues that this approach is more robust than relying solely on prompt engineering or post-hoc auditing, as it provides a hard stop at the point of execution. The article is part of a challenge on DEV Community, as indicated by the CSS styling for the '418challenge' tag, which gives the page a retro aesthetic reminiscent of Windows 95 or a hacker terminal.