The agent successfully understood and explained cardea-companion.vercel.app by reading the homepage and JavaScript source code directly. The site is minimally documented and exposes its core information only through code inspection rather than user-facing prose, requiring the agent to assemble the narrative from fragments.

• ›Step [1] (homepage HTML) provided only a vague tagline ('Objects for a first day in a new place') and header branding ('Threshold Supply, a Cardea WebMCP companion'), leaving most context unexplained in human-readable form.
• ›Step [2] (webmcp.js) contained the complete product catalog (items, prices, descriptions) and tool definitions (search_catalog, get_item, compare_items, update_cart, read_policies), which became the factual backbone of the explanation. This was the only resource that held actual product and functional data.
• ›The site does not publish explanatory documentation, pricing pages, FAQ, or positioning statements—all of which would normally be discoverable via navigation. The agent had to reverse-engineer intent and purpose from code inspection, then validate understanding via web search (step [4]) rather than finding it on the site itself.
• ›The agent correctly identified that no real e-commerce transaction occurs, but this had to be inferred from code structure rather than stated on the page. No explicit disclaimer or terms were provided.
• ›The site is optimized for AI agent tool calling (via WebMCP standards) but not for human navigation or agent comprehension—there are no navigation links, no 'About' section, no pricing table, no explanation of the Cardea relationship, and no use-case documentation visible on the site.