The agent successfully assembled a comprehensive overview of the site's purpose, audience, and service model by fetching the homepage and guide sections, which contained the core information needed. The site was reasonably navigable—the homepage and guides pages loaded cleanly—but lacked dedicated pricing, business model, and algorithm documentation pages, forcing the agent to rely on inference and prior knowledge to fill gaps around sustainability and matching mechanics.

• ›Step [5] (index.md fetch) was the primary content source, returning structured markdown that clearly defined what Studienplatztausch is, who it serves, and that it is free and run by MiA e.V. This directly answered 3 of 4 core questions (what, who, pricing).
• ›Step [1] (homepage HTML) and step [9] (ratgeber page) provided context on available tools (Chancen-Rechner, Tauschbörse, Uni-Seiten) and specialized guides, but the agent could not fully parse the HTML responses—they were truncated—and had to rely on the markdown version (step [5]) for readable content extraction.
• ›The agent attempted to find pricing and business model pages (/preise, /pricing) in steps [7] and [8], both returning 404s. No dedicated business model or sustainability disclosure page exists, so the agent correctly noted this as unfindable information rather than guessing or fabricating.
• ›Step [12] (impressum) returned a 200 but the HTML was truncated; the agent did not successfully extract organizational details from it, indicating the site's legal/contact metadata is not easily machine-readable.
• ›The site publishes a markdown version of its homepage content, which was agent-friendly, but the overall information architecture lacks dedicated pages for pricing transparency, algorithm documentation, and business model disclosure—core signals of transparency that agents and humans both look for.