The agent successfully synthesized a comprehensive explanation of MakeMyTrip by combining direct website fetches with web search results. The website itself provided limited structured information about business model, pricing, and differentiation; the agent had to rely on web search results and prior knowledge (67% of sources) to answer most of the task. The site's HTML was largely unstructured, forcing the agent to work around incomplete on-site documentation and assemble the answer from external sources.

• ›Steps [8], [10], [11], [13] (all web searches) returned the substantive answers about business model, loyalty programs, competitive positioning, and global expansion—information not readily available in the fetched website HTML itself.
• ›Direct site fetches [1–7, 9, 12] returned boilerplate HTML and login/booking interfaces but did not surface clear explanations of pricing structure, loyalty program details, or competitive differentiation; these were retrieved only via external web search.
• ›The agent had to guess at URLs (/about-us, /faq, /flights, /hotels, /mytrips) using prior knowledge; these pages either did not exist or returned generic templates. The website does not publish a structured, machine-readable 'how we work' or 'pricing' document for agents to discover.
• ›Pricing transparency was noted as confusing: convenience fees are not prominently disclosed before checkout, MMTBLACK eligibility criteria are buried in terms, and hotel commission structures are opaque—signals that the site does not prioritize agent-readable pricing disclosure.
• ›The agent correctly identified that MakeMyTrip owns Goibibo but the site itself does not make this relationship clear, requiring external research to explain the competitive landscape.