AI agents

An agent workflow needs more than instructions to generate text. Decide which choices the model may make, which actions the application permits, and what evidence establishes that the task is complete. Keep deterministic steps in ordinary application logic when their behavior is already known.

Use this category to examine the boundary between a proposed action and an executed operation. The agent tool-calling guide covers narrow arguments, permission checks, and clear results. A useful tool explains its purpose and returns enough information for the next step without hiding a partial failure.

For connections to external systems, read MCP architecture and trust boundaries. Start with a small capability set and a defined environment. Record the actual outcomes of actions, provide a recovery path when a dependency fails, and stop when further attempts cannot advance the user's objective.