Articles for tag agents
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Does WebMCP `outputSchema` Help Agents Pick Better Tools?Consolidating WebMCP read tools while keeping descriptions under 500 characters hides the fields each tool returns from the agent. Here is what happened when I tested WebMCP's new outputSchema across single-turn lookups, multi-step chains, and multi-turn conversations.
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Closing the WebMCP Feedback LoopUncover the critical missing feedback loop in AI agent development on the web. This article delves into why agents fail silently when interacting with WebMCP tools, leading to blind spots for developers, and explores innovative, secure out-of-band reporting mechanisms and platform events to provide crucial telemetry, ensuring a more robust and effective "agentic web" experience for all.
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The Agentic WebUnlock the future of web interaction by making your site "agent-ready" for the surging wave of AI agents. This essential guide breaks down the Agentic Web into a pragmatic framework of Discovery, Understanding, and Usage, showing developers how to optimize for machine-readability, semantic clarity, and reliable AI engagement with new standards like WebMCP. Learn to build a robust foundation that benefits both AI and human users, ensuring your digital presence thrives in this evolving landscape.
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Bringing the Agent Loop to the WebDemystify AI agents by exploring the case for moving the loop to the browser. Learn how client-side orchestration enables tight UI integration and data control.
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Demystifying AI Agents: Learning the Mechanics with RustDemystify AI agents by exploring their five core mechanics: the loop, brain, hands, memory, and blueprint. Learn the plumbing that sits beneath the abstractions.
