The agent assembled a reasonably complete overview of Dr. Big Flower's practice by combining metadata from the homepage, content from the sitemap, and detailed educational articles on specific services. The site's primary content is well-structured and discoverable via sitemap, but practical information like clinic hours, appointment booking, and complete service pricing was not found in a machine-readable form—requiring the agent to note gaps and rely on inference from fragmentary data.

• ›Step [1] (homepage) provided only metadata and title tags; the actual page body was truncated in all HTML responses, severely limiting what the agent could extract directly from fetches. The agent relied heavily on metadata descriptions and prior knowledge to construct its answer.
• ›Step [11] (sitemap.xml) was the only fully readable structured document, enabling the agent to discover a large educational content library (40+ guides on bone age, growth charts, growth hormone treatment, genetics). This was critical—without the sitemap, the agent would have had almost no visibility into the site's depth.
• ›Steps [14], [17], [23], [24] (individual educational articles) returned complete HTML but were metadata-rich rather than machine-readable structured data; the agent extracted pricing (NT$1,023 for bone age interpretation, NT$1,500–2,500 for visits) and service descriptions from page titles and meta descriptions only, not from body content.
• ›The site does not publish clinic hours, appointment booking links, complete service pricing, or contact information in accessible form; the agent explicitly noted these as 'missing.' The practice operates two clinics (Xinzhuang, Taipei) but no operational details were surfaced by the site.
• ›Site is not agent-ready for transactional tasks: no structured data (schema.org), no API, no programmatic contact or booking mechanism. The educational content is discoverable and indexable, but the clinical practice itself is opaque to automated agents.