The `mcp-wait-timer` server addresses a common challenge in AI-driven workflows where models might proceed prematurely after an action, before asynchronous effects fully complete. It introduces a `wait` tool that allows explicit pauses for a defined number of seconds. This ensures that time-dependent operations, such as dynamic web content loading, background process completion, or API rate limit handling, have sufficient time, preventing errors or incorrect assumptions in subsequent steps of an automated task.