The agent assembled a comprehensive overview of Sigma Canada by fetching the homepage, about page, lenses collection, and where-to-buy page, then supplemented that with prior knowledge about Sigma Corporation and camera lens markets. However, the site's pages loaded as JavaScript-heavy Shopify storefronts with truncated HTML responses that did not expose product details, pricing, or business model in machine-readable form—forcing the agent to rely heavily on prior knowledge and inference rather than direct site content. The agent produced a plausible explanation but explicitly flagged that pricing, product availability, and the site's actual sales model (direct vs. referral) could not be verified from what the site returned.

• ›Steps [1], [4], [6], [7] all returned truncated Shopify boilerplate HTML (~4400 chars) with no visible product names, prices, specifications, or narrative content—the actual page content was not in the fetched response, indicating heavy client-side rendering or JS-gated content.
• ›The agent inferred most concrete details (lens price range $2,699–$8,799 CAD, Markham Ontario repair facility, 7-year warranty, Art/Contemporary/Sports product lines) from prior knowledge, not from sigmacanada.ca itself; it explicitly acknowledged 'the site's product pages load with JavaScript, so I couldn't see a complete current price list.'
• ›The agent correctly identified but could not resolve the core ambiguity: whether sigmacanada.ca functions as a direct retailer with a working e-commerce backend, or primarily as an information hub directing traffic to authorized retailers—the fetched pages did not clarify this.
• ›No structured data (schema.org, JSON-LD), clear navigation labels, or meta descriptions were exposed in the HTML responses, making the site opaque to machine parsing and requiring the agent to guess or rely on domain knowledge.
• ›The agent cited four URLs in the final response's sources, all of which it fetched; however, only the first three were actually navigated (steps 1, 4, 6, 7), and none of them returned readable content that directly supported the claims in the answer.