Traditional REST APIs are ill-equipped for AI agents, which lack human intuition and can inadvertently overload systems. The article argues that APIs designed for human developers cause problems when autonomous agents interpret requests literally, leading to risky behavior like rapid-fire requests that can crash servers.

The core issue is context. Unlike humans, LLMs don't read documentation to understand rate limits or system criticality. The proposed solution is a new HTTP verb, `CONTEXT`, inspired by the existing `OPTIONS` method. Before executing any action, an agent would query this endpoint to receive machine-readable rules for safe operation.

For example, a `CONTEXT` response could specify rate limits and warn of heavy database load. Armed with this metadata, an AI agent could automatically adjust its behavior, inserting delays between requests instead of firing them all at once. This shift from prompt engineering to standardized API metadata could make AI integrations safer and more reliable.