Tool Schema

A tool schema is the structured spec that tells an AI assistant what a tool does, what inputs it needs, and what it gives back.

Think of it as the menu the assistant reads before deciding which action to take.

When you connect an app to ChatGPT or Claude, each thing the app can do ships with a schema: a name, a plain description, and a list of fields.

The assistant uses that description to decide whether your tool is the right fit for the buyer's request.

Why it matters for the ChatGPT funnel

The schema is where you either get picked or get skipped.

If two apps can both answer "book me a demo," the assistant leans on the clearer, better-described tool.

A vague schema reads as a vague offer, and the model routes the buyer elsewhere.

So the words in your schema quietly shape your conversion at the exact moment of intent. This is the core idea behind Connector Engine Optimization: tuning what the assistant sees so your MCP server wins the pick.

How drio fits

You don't hand-write any of this.

drio generates clean, intent-aligned schemas for every tool your app exposes, so the assistant understands your offer and reaches for it first. You focus on the funnel; we handle the wiring underneath.