The agent successfully gathered comprehensive information about agent-hop by pivoting from the sparse marketing website to the GitHub repository, where the README contained all substantive details about what the tool does, who it's for, pricing (free/open-source), and differentiation. The website itself is minimally navigable for this task—it's a client-side-rendered Next.js site with no static docs, features, or pricing pages—forcing the agent to rely on GitHub as the primary source of truth.

• ›Step [9] (GitHub README) was the sole content-bearing source and contained the complete answer: tool purpose, supported agents, feature set, installation, usage modes, competitive advantages (cross-agent conversion, semantic search, local execution, verified adapters, open-source licensing), and known limitations (Muse Code support removed). The agent's entire explanation derives from this single artifact.
• ›Step [7] (GitHub repository page) identified the README as accessible but was itself not content-bearing; it served as a routing step. The agent correctly inferred from the homepage HTML in steps [1] and [3] that the main website was insufficient and pivoted to GitHub, using prior knowledge rather than links surfaced by agent-hop.com itself.
• ›The website at agent-hop.com is agent-hostile for discovery-evaluation tasks: it has no `/docs`, `/features`, `/pricing`, or comparison pages (all returned 404s in steps [5] and [6]); relies entirely on client-side rendering so static fetches cannot reveal content; and provides no explicit link to the GitHub repository in the fetched HTML. The agent had to guess or use prior knowledge that an open-source tool would have a GitHub repo.
• ›The agent used web searches (steps [11], [13], [15]) as secondary validation and context-gathering (e.g., learning about competitor 'agent-session-resume'), but these did not contribute content to the final answer—they confirmed the tool's positioning and market landscape rather than explaining the product itself.
• ›The tool's zero-revenue model (free, open-source, MIT license) and CLI-only distribution meant pricing and business model sections of the final answer required zero content from the site; the agent correctly reported what it found (or didn't find) rather than speculating.