What Information Should Agents Disclose When Recommending Products?

I have been pondering a small yet significant design issue: When an ai agent recommends a certain tool, api, says product, service, or provider, what kind of information should the user be given? It is not presented in the form of lengthy and complex legal provisions. Instead, it is expressed in a natural and smooth way of daily experience. There are several things that seem necessary to be mentioned: \- Why this option is recommended \- Whether there is a business partnership \- Whether other options have been considered \- Whether the ranking is based on the user's intention, model reasoning, or external systems \- If the user clicks or purchases, can the agent builder obtain a profit In the traditional online environment, we have some common patterns. Such as advertisements, sponsored posts, affiliate links, comparison pages. These patterns are not perfect, but most users can clearly understand which category the content they are browsing belongs to. The content recommended by the agent feels different. It may appear in a helpful answer, using the same tone as the other content in the conversation. This makes the boundary of the recommendation more blurred - and perhaps requires more cautious handling. So I really want to know how others would design this. \- Should business relationships be fully disclosed? \- Should it be disclosed before the recommendation, after the recommendation, or should there be a separate expandable section for disclosure? \- Would excessive disclosure make the product use more annoying? \- Would insufficient disclosure cause trust to quietly disappear? I especially hope to receive feedback from those who are engaged in agency business, market platforms, SaaS, or recommendation system-related work.