Your API Wasn't Designed for AI Agents. Here Are 5 Fixes.

AI agents are your API's newest power users. They don't read your docs the way humans do. They parse your OpenAPI spec, call endpoints in loops, retry on every failure, and chain 20 requests without pausing to ask "are you sure?" Most APIs were designed for frontend developers clicking buttons. That design breaks when an autonomous agent starts calling your endpoints at 3 AM with no human in the loop. Here are 5 architecture patterns that make your API survive the agent era. 1. Machine-Readable Descriptions in Your OpenAPI Spec Human developers read your API docs and infer intent. AI agents read your OpenAPI specification and take descriptions literally. Vague descriptions produce wrong API calls. The difference between an agent choosing the right endpoint and the wrong one is often a single sentence in your spec. from fastapi import FastAPI from pydantic import BaseModel , Field app = FastAPI ( title = " Order Management API " , description = " Manages customer orders. All monetary va