The agent successfully assembled a comprehensive explanation of degree.astate.edu by combining direct site fetches with web search results. The homepage, about, programs, and tuition pages provided foundational information, but the site's JavaScript-heavy rendering made direct HTML parsing difficult—the agent relied heavily on web search to fill gaps and access detailed program/pricing information that wasn't readily extracted from the fetched pages themselves. The site is navigable but requires supplementary search to build a complete picture.

• ›Step [0] (homepage), [1] (about), [2] (programs), and [7] (tuition) returned content but the HTML responses were truncated and JavaScript-dependent, making it unclear how much actionable content was actually present in the raw fetch.
• ›The agent discovered the tuition page not through direct navigation or site search, but through a web search query [5] that returned a link to /tuition/ — indicating the site's internal navigation or discoverability of pricing information is weak.
• ›The agent explicitly noted in its final response that 'the website is JavaScript-heavy and hard to parse directly' and that 'detailed program descriptions seem to load dynamically,' confirming the site is not optimized for agent comprehension; the agent had to construct its answer largely from web search results and prior knowledge rather than the site's own content.
• ›Critical details like the per-credit tuition rate ($774), fee structure, and differentiation from alternatives came from web search results and inference, not clearly presented on the directly-fetched pages.
• ›The agent failed to fetch a /pricing page (404 in step [3]), forcing it to search for tuition information—the site either doesn't have a standard pricing page or routes pricing through a different URL structure.