The agent could not access the actual docker-diet.vercel.app website content (HTML kept truncating) and instead assembled an answer by discovering the underlying GitHub project (moul/docker-diet) and inferring the tool's purpose from its repository title and related Docker optimization documentation. The site itself was not navigable—the agent had to work around inaccessible pages and rely on prior knowledge and web search to reconstruct what the tool likely does.

• ›Steps [10] and [12] revealed the GitHub source (github.com/moul/docker-diet and raw README), which confirmed the project exists and is titled ':fries: Lightweight Docker images,' but the README itself was truncated and minimal—providing only a title, not functional documentation.
• ›Multiple attempts to fetch docker-diet.vercel.app (steps [1], [5], [29]) returned truncated HTML that did not expose any meaningful content about features, pricing, use cases, or how to use the tool. Attempts to guess common routes (/pricing, /about, /docs, /api, /upload, /tool) all returned 404s, indicating the site either has no navigable structure or blocks agent access.
• ›The agent had to infer nearly everything from prior knowledge and competitive tool comparisons (Dive, Docker Slim, Dockadvisor, Container Diet) found via web search, rather than from the website itself. The site provided no machine-readable or human-readable answers to the core questions: what it does, who it's for, how it's priced, or how it differs from alternatives.