The following article originally appeared on the Agentic AI Foundation blog and is being reposted here with the author’s permission.

Websites are designed for people. We can look at a page and quickly understand where to enter information or which control will complete an action.

AI agents don’t see or use the web the same way we do. An agent may have to process a screenshot or inspect the page’s underlying structure, then reason about which control matches the request.

The additional context increases token use, and each interpretation step creates another chance for error.

WebMCP (not to be confused with MCP) gives web developers a standard way to publish structured tools to access the capabilities of their website enabling agents to call those functions with structured inputs.

A developer can register a tool through document.modelContext and give it a name and description.…