Web Model Context Protocol gives a website a machine-readable way to describe the actions it is willing to offer an artificial intelligence agent. Instead of forcing the agent to infer every control from pixels or page markup, the site can publish a bounded set of tools with names, inputs, and expected behavior. The user still sees the website while the agent performs supported actions through the browser.
This approach can make agent interactions more reliable and efficient because the website defines the available action surface. It can also preserve session context, such as whether the user is signed in, without asking the user to create a separate integration credential. Its practical value depends on adoption, careful permission boundaries, clear confirmation behavior, and evaluation that proves the exposed tools work as intended.
