The agent assembled a comprehensive overview of VK WorkSpace by combining the homepage fetch, multiple web searches that surfaced the tariffs page, and documentation links — then synthesized them into a coherent explanation of what the service does, who it targets, pricing tiers, and how it differs from Western alternatives. The site itself was poorly navigable for automated agents: direct navigation to /pricing and /features returned 404s, pricing and feature details were client-side rendered and inaccessible in raw HTML, and key information had to be discovered through search results rather than exposed via the site's own information architecture.

• ›Step [1] (homepage) returned only HTML scaffolding with no visible text content — the page is heavily client-side rendered, making it unreadable to the agent. The agent had to route around this via search.
• ›Step [9] (tariffs page via search URL) also returned client-side rendered HTML with no pricing data visible in the response body. Actual pricing information (259–459 rubles per user/month, plan tiers, user limits) came from web search snippets in steps [6] and [12], not from direct page fetches.
• ›Steps [6], [12], and [13] (web searches) were the actual content-bearing sources; they surfaced tariff documentation, pricing details, feature comparisons, and technical specs. The agent had to rely on search engines to discover that `/tariffs/` existed (step [9] was routed there by step [6]).
• ›The site offers `/docs/` endpoints (discovered in step [13]) that appear to contain structured information, but the agent did not fetch them — suggesting the site publishes some documentation but did not surface it prominently enough for natural discovery.
• ›Attempted direct navigation to conventional paths (/pricing, /features in steps [3] and [4]) failed with 404s, forcing the agent to use search as the primary discovery method rather than the site's own navigation.
• ›The agent correctly identified gaps in clarity: no feature comparison table visible, user limits unclear (are they hard caps or recommendations?), mobile app capabilities not well-documented, and international availability not addressed.