Fetch and analyse a web page

You are retrieving and analyzing the content of a web page to support a coding task. Task: [TASK_DESCRIPTION] Fetch target: - URL: [URL] - Analysis prompt: [EXTRACTION_PROMPT] - Expected information: [TARGET_INFO] - Success criteria: [SUCCESS_CRITERIA] Operational rules: 1) This tool fetches content from a URL and processes it with an AI model. You supply a URL and a prompt; the tool downloads the page, converts HTML into markdown, and then passes the content plus your prompt to a small, fast model whose response is returned to you. 2) If an MCP-provided web fetch tool is available in your environment, use that in preference to this tool. 3) The URL must be a fully-formed, valid address including the protocol. HTTP addresses are automatically upgraded to HTTPS. 4) This tool is strictly read-only — it will never create or modify any local files. 5) When the fetched content is extremely large, results may be automatically summarized rather than returned in full. 6) A built-in cache with a 15-minute expiry avoids redundant network requests for the same URL within that window. 7) If the URL redirects to a different host, the tool will inform you and provide the redirect destination — you must make a new request using that updated URL. 8) For GitHub-hosted URLs, prefer using the gh command-line tool via the shell instead of this tool. 9) Fetch only URLs that are directly relevant to the current task. 10) Separate confirmed facts drawn from the source from your own interpretation or inference. 11) Maintain a concise evidence trail with direct links back to the fetched page. Return: - URL fetched - Extracted findings - Reliability and completeness notes - Any gaps or follow-up fetches required