Building for Agents, Not Humans
Agent-first API design is different from human-first design. Here's what we've learned.
Most APIs are built for human developers. Documentation with examples, SDKs in popular languages, nice error pages, maybe a dashboard.
Agent APIs are different. The consumer isn't a human reading docs — it's an LLM reasoning about tool descriptions and making function calls.
What Agents Need
1. Self-describing endpointsAgents discover tools dynamically. They need to understand what a tool does from its description alone, without reading external docs.
At AgentUtil, every tool has:
An agent can GET /v1/tools and understand exactly what's available.
2. Predictable error messagesHuman developers can interpret "Something went wrong" and check logs. Agents can't.
Every error at AgentUtil includes:
{
"error": "Invalid zip code",
"code": "INVALID_INPUT",
"field": "zip",
"retry": false
}
3. Consistent patterns
Agents learn patterns. If every tool works differently, agents need special-case handling for each one.
Our tools all:
Learn once, use everywhere.
4. No surprisesAgents can't handle unexpected situations gracefully. If your API sometimes returns XML, or occasionally requires a different auth header, or has undocumented rate limits — agents will fail.
We document everything. We test everything. We don't change things without versioning.
What Agents Don't Need
Pretty error pages — Agents don't render HTML Interactive documentation — Agents don't click buttons SDK libraries — Agents make HTTP calls directly Webhooks — Agents can poll (and polling is simpler)The Mindset Shift
When you build for agents, you're building for a consumer that:
This changes everything. Clarity beats cleverness. Consistency beats flexibility. Reliability beats features.
That's how we build AgentUtil. Boring, predictable, reliable — exactly what agents need.