## Agent visibility needs public structure

AI agents are often described as autonomous tools that call APIs and complete tasks. That is only part of the picture. Agents also need public context that helps them understand what resources exist, what they are for, and whether they can be trusted.

That is where registries, listings, FAQs, glossaries, and content catalogs become useful. They tell systems what an asset is before a live integration ever happens.

## A public agent surface should explain

- What the agent does
- Who it is for
- What inputs and outputs it expects
- What knowledge or datasets it depends on
- How often it is updated
- Where the public documentation lives

## Why registries matter

Registries turn scattered claims into structured public records. They let people and machines compare agents side by side using the same fields.

That is why the directory pattern matters here. A portfolio-style directory can evolve into a wider registry without needing a full rebuild.

## Practical implication

If an agent matters commercially, it should have a stable public listing, a glossary of its key terms, supporting FAQ pages, and linked documentation across the library.