Should AI Agents Follow Unified Standards?

The capabilities of AI agents in using tools, grasping situations, and accessing services are constantly improving. Well. However, the recommendation layer still appears to be disorganized and seems to be on the verge of evolving into an infrastructure. If an agent recommends a product, an API, a service, a tool, or a supplier, then this recommendation is by no means an insignificant embellishment. It can influence users' choices, installation behaviors, levels of trust, or levels of disregard. Therefore, perhaps we should stop regarding it as a detail of the user interface and instead consider it as a protocol issue. There seem to be several things that have not been resolved: \- How should the recommended product be described? \- What evidence should be provided when recommending? \- How should the agent explain why they recommend something? \- How should the payment relationship or incentives be disclosed? \- How should clicks, conversions, and attribution work? \- What feedback should developers and merchants receive? \- Should users have a significant degree of control over the display of recommended content? If there is no common architecture, each agent, platform, merchant, and tool provider will build their own small kingdom. In this way, there will be fragmented, opaque incentive mechanisms, and incorrect attribution problems, ultimately leading to a softer, more conversational advertising technology "swamp" state. So the real problem is not "Will agents recommend products?" They will definitely recommend. The Internet will turn every contact point into a profit point. The question is whether agent recommendations will become a transparent infrastructure or merely a more polite form of paid promotion? Should a standard process be established for AI agent recommendations? What aspects should it cover? This should be a technical specification, a set of business rules, or both? Should it come from the open source community, the platform, or a combination of both? It would be interesting to know how those who develop agent tools view this issue.