The agent assembled a comprehensive explanation of Skymo by combining the homepage (step [1]), web search results (step [10]), and the Google Play Store page (step [13]). The site itself is minimally navigable for this task — most pages returned 404s, and the homepage is a JavaScript-heavy React app that doesn't expose full content in static HTML. The agent successfully answered all four requested dimensions (what they do, who it's for, pricing, differentiation) but had to work around missing information by relying on external sources (Play Store, search results) and prior knowledge.

• ›Step [1] (homepage) returned only HTML scaffolding with no readable content in the response snippet — the React app doesn't render statically, making the site opaque to direct inspection. The agent extracted game mechanics and positioning by parsing JavaScript context and search results instead.
• ›Step [10] (web search) returned a snippet pointing to the rules page and app store, which was the primary routing mechanism that led to step [13]. Search results themselves contained no direct pricing or differentiation claims, so those came from agent assembly and external sources.
• ›Step [13] (Google Play Store) was the most content-bearing external source — it likely contained app description, ratings, developer info, and IAP details that informed the 'completely free, no ads' claim. This was not from skymo.online itself.
• ›Steps [3], [4], [6] all returned 404s (/pricing, /about, /faq), indicating the site does not publish structured pages for these common discovery questions. The agent was forced to infer pricing from the absence of monetization signals and the Play Store listing.
• ›The site's navigation and information architecture are not agent-friendly: no dedicated pricing, about, or comparison pages; no open graph metadata visible in the HTML; no llms.txt or structured data in the response snippets. The agent had to guess URLs and rely on prior knowledge (57% of sourcing).