The agent could not directly access or read the taroanna.ru website itself—both fetch attempts [1] and [3] returned only HTML with embedded CSS and no extractable text content. The agent worked around this inaccessibility by relying entirely on web search snippets and prior knowledge to assemble an answer about what the service does, who it serves, pricing, and differentiation. While the final response is reasonably complete and cites the homepage URL as a source, it is fundamentally constructed from indirect evidence rather than from the site's own published content.

• ›Both direct fetches [1] and [3] returned only the page skeleton (CSS variables, no readable body text), making the site unreadable to the agent without JavaScript execution.
• ›The agent never obtained a fully rendered or text-accessible version of taroanna.ru; all substantive information came from web search snippets that mentioned the site or inferred it from competitor and review pages (steps [5]–[14]).
• ›Web search result titles (e.g., 'Таролог Анна — расклад Таро и натальная карта от 400 ₽') supplied pricing, service names, and positioning; these snippets were the primary content-bearing source, not the website itself.
• ›The agent was forced to note in its own response that 'the actual taroanna.ru homepage appears to be heavily JavaScript-driven, making it difficult to read the full content directly' and explicitly stated 'most of what I found came from search snippets and mentions elsewhere.'
• ›The site publishes essential information (pricing, service types, contact method) in a way that is search-engine-visible and appears in SERPs, but not in a way that is directly readable via HTTP fetch—a significant usability gap for agents.