Agent tool calls need failure labels to avoid guessing

When an AI agent's tool call returns empty results, the cause could be a bad query, stale data, or a backend timeout—all producing the same output. The author proposes that tools should return structured failure states with evidence, enabling agents to respond appropriately. This design pattern shifts the burden from guessing to explicit state handling.