{"id":1170405,"date":"2026-05-01T09:18:07","date_gmt":"2026-05-01T16:18:07","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/?post_type=msr-research-item&#038;p=1170405"},"modified":"2026-05-01T09:18:54","modified_gmt":"2026-05-01T16:18:54","slug":"web-agents-should-use-typed-actions-instead-of-click-based-browsing","status":"publish","type":"msr-research-item","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/web-agents-should-use-typed-actions-instead-of-click-based-browsing\/","title":{"rendered":"Position: Web Agents Should Use Typed Actions Instead of Click-Based Browsing"},"content":{"rendered":"<p>The Web is evolving from a medium that humans browse to an environment where software agents act on behalf of users.<br \/>\nAdvances in large language models (LLMs) make natural language a practical interface for goal-directed tasks, yet most current web agents operate on low-level primitives such as clicks and keystrokes. These operations are brittle, inefficient, and difficult to verify. Complementing content-oriented efforts such as NLWeb&#8217;s semantic layer for retrieval, we argue that the agentic web also requires a semantic layer for web actions.<br \/>\nWe propose <strong>Web Verbs<\/strong>, a web-scale set of typed, semantically documented functions that expose site capabilities through a uniform interface, whether implemented through APIs or robust client-side workflows. These verbs serve as stable and composable units that agents can discover, select, and synthesize into concise programs.<br \/>\nThis abstraction unifies API-based and browser-based paradigms, enabling LLMs to synthesize reliable and auditable workflows with explicit control and data flow. Verbs can carry preconditions, postconditions, policy tags, and logging support, which improves <strong>reliability<\/strong> by providing stable interfaces, <strong>efficiency<\/strong> by reducing dozens of steps into a few function calls, and <strong>verifiability<\/strong>\u00a0through typed contracts and checkable traces. We present our vision, a proof-of-concept implementation, and representative case studies that demonstrate concise and robust execution compared to existing agents. Finally, we outline a roadmap for standardization to make verbs deployable and trustworthy at web scale.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Web is evolving from a medium that humans browse to an environment where software agents act on behalf of users. Advances in large language models (LLMs) make natural language a practical interface for goal-directed tasks, yet most current web agents operate on low-level primitives such as clicks and keystrokes. These operations are brittle, inefficient, 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