[{"slug":"ZV-2026-2002","server_name":"sofya.co","severity":"breaking","title":"sofya.co: topic on research narrowed to a closed enum (general, news); previously valid values may now be rejected.","summary":"[safe] Description of extract changed (13% word delta). [safe] Description of fetch changed (4% word delta). [breaking] topic on research narrowed to a closed enum (general, news); previously valid values may now be rejected. [safe] Description of search changed (6% word delta). [breaking] topic on search narrowed to a closed enum (general, news); previously valid values may now be rejected. [breaking] search_depth on search narrowed to a closed enum (snippets, basic); previously valid values may now be rejected.","changes":[{"kind":"description_changed","tool":"extract","after":"Fetch a webpage and extract specific information using AI. Use this when you need one specific answer from a page (e.g. a price, a spec, contact info) rather than its full content. The answer comes back as text, not JSON. Costs 10 credits.\n\nIf the page has no usable text (empty or JavaScript-rendered body), the model is NOT called: content comes back empty and usage.low_content is true, rather than a fabricated answer. Gate on usage.low_content (or usage.content_chars) to detect pages you cannot ground on.\n\nReturns: content (the extracted text), url, credits_used, credits_remaining, usage (input_tokens, output_tokens, content_chars, low_content).\n\nArgs:\n    url: The URL to extract from\n    prompt: What information to extract (e.g. \"list all pricing tiers with features\" or \"extract the author name and publication date\")","before":"Fetch a webpage and extract specific information using AI. Use this when you need structured data from a page (e.g. pricing, specs, contact info) rather than the raw content. Costs 10 credits.\n\nIf the page has no usable text (empty or JavaScript-rendered body), the model is NOT called: content comes back empty and usage.low_content is true, rather than a fabricated answer. Gate on usage.low_content (or usage.content_chars) to detect pages you cannot ground on.\n\nReturns: content (the extracted text), url, credits_used, credits_remaining, usage (input_tokens, output_tokens, content_chars, low_content).\n\nArgs:\n    url: The URL to extract from\n    prompt: What information to extract (e.g. \"list all pricing tiers with features\" or \"extract the author name and publication date\")","detail":"Description of `extract` changed (13% word delta).","severity":"safe","descriptionDelta":0.12643678160919536},{"kind":"description_changed","tool":"fetch","after":"Fetch one or more URLs and return their content as clean markdown. Use this to read articles, documentation, blog posts, or any page where you need the complete text, not just a snippet from search. Also supports PDF, DOCX, and other document formats. Costs 2 credits per URL. Max 10 URLs per request. Failed URLs are not charged.\n\nSet include_raw_html=true to also get the raw HTML source in each result. Useful for inspecting embedded URLs, data attributes, iframes, or script tags that are stripped during markdown conversion. May be null for non-HTML content (PDF, DOCX, etc.) and for some sites. Same cost.\n\nReturns: results (array of {title, url, content, raw_html, published_time, success, error}), credits_used, credits_remaining.\n\nArgs:\n    urls: List of URLs to fetch (max 10)\n    include_raw_html: Include raw HTML source in each result (default false)","before":"Fetch one or more URLs and return their content as clean markdown. Use this to read articles, documentation, blog posts, or any page where you need the complete text, not just a snippet from search. Also supports PDF, DOCX, and other document formats. Costs 2 credits per URL. Max 10 URLs per request. Failed URLs are not charged.\n\nSet include_raw_html=true to also get the raw HTML source in each result. Useful for inspecting embedded URLs, data attributes, iframes, or script tags that are stripped during markdown conversion. Returns null for non-HTML content (PDF, DOCX, etc.). Same cost.\n\nReturns: results (array of {title, url, content, raw_html, published_time, success, error}), credits_used, credits_remaining.\n\nArgs:\n    urls: List of URLs to fetch (max 10)\n    include_raw_html: Include raw HTML source in each result (default false)","detail":"Description of `fetch` changed (4% word delta).","severity":"safe","descriptionDelta":0.040000000000000036},{"kind":"enum_narrowed","path":"inputSchema.properties.topic","tool":"research","after":"enum[general,news]","before":"open","detail":"`topic` on `research` narrowed to a closed enum (general, news); previously valid values may now be rejected.","severity":"breaking"},{"kind":"description_changed","tool":"search","after":"Search the web for current information on any topic. Returns extracted page content, not just snippets. Best for factual lookups, specific questions, or when you need a list of sources. For open-ended questions that need synthesis across many sources, use the research tool instead.\n\nFor news queries (current events, breaking news, politics, world events), set topic=\"news\" to search news sources specifically. This returns recent articles with publication dates.\n\nSet include_answer=true to get an AI-synthesized answer alongside results (adds 10 credits). This is the sweet spot for most agent tasks, e.g. basic + include_answer = 12 credits, much cheaper than a full 50-credit research call.\n\nReturns: query (the query actually run), answer (if requested), results (array of {title, url, content, description, fetched, published_date, sublinks, table}), search_depth, topic, elapsed_ms, credits_used, credits_remaining, altered_query, relaxed_query (set when the query matched nothing and was retried once with its site: operator, else its quotes, removed - the results answer that looser query).\n\nArgs:\n    query: The search query\n    search_depth: \"basic\" (default) for extracted page content (2 credits), \"snippets\" for SERP snippets only without page fetching (1 credit)\n    max_results: Number of results (default 10, max 20)\n    include_answer: Generate an AI answer that synthesizes the search results (adds 10 credits)\n    include_domains: Only include results from these domains, as bare hostnames like \"github.com\" (max 10)\n    exclude_domains: Exclude results from these domains, as bare hostnames (max 10)\n    topic: \"general\" for web search, \"news\" for news articles. use \"news\" for current events, breaking news, politics, or any time-sensitive query\n    freshness: Filter by recency - \"day\", \"week\", \"month\", \"year\", or \"YYYY-MM-DD:YYYY-MM-DD\"","before":"Search the web for current information on any topic. Returns extracted page content, not just snippets. Best for factual lookups, specific questions, or when you need a list of sources. For open-ended questions that need synthesis across many sources, use the research tool instead.\n\nFor news queries (current events, breaking news, politics, world events), set topic=\"news\" to search news sources specifically. This returns recent articles with publication dates.\n\nSet include_answer=true to get an AI-synthesized answer alongside results (adds 10 credits). This is the sweet spot for most agent tasks, e.g. basic + include_answer = 12 credits, much cheaper than a full 50-credit research call.\n\nReturns: query, answer (if requested), results (array of {title, url, content, description, fetched, published_date}), search_depth, topic, elapsed_ms, credits_used, credits_remaining, altered_query, relaxed_query (set when the query matched nothing and was retried once with its site: operator, else its quotes, removed - the results answer that looser query).\n\nArgs:\n    query: The search query\n    search_depth: \"basic\" (default) for extracted page content (2 credits), \"snippets\" for SERP snippets only without page fetching (1 credit)\n    max_results: Number of results (default 10, max 20)\n    include_answer: Generate an AI answer that synthesizes the search results (adds 10 credits)\n    include_domains: Only include results from these domains (max 10)\n    exclude_domains: Exclude results from these domains (max 10)\n    topic: \"general\" for web search, \"news\" for news articles. use \"news\" for current events, breaking news, politics, or any time-sensitive query\n    freshness: Filter by recency - \"day\", \"week\", \"month\", \"year\", or \"YYYY-MM-DD:YYYY-MM-DD\"","detail":"Description of `search` changed (6% word delta).","severity":"safe","descriptionDelta":0.0641025641025641},{"kind":"enum_narrowed","path":"inputSchema.properties.topic","tool":"search","after":"enum[general,news]","before":"open","detail":"`topic` on `search` narrowed to a closed enum (general, news); previously valid values may now be rejected.","severity":"breaking"},{"kind":"enum_narrowed","path":"inputSchema.properties.search_depth","tool":"search","after":"enum[snippets,basic]","before":"open","detail":"`search_depth` on `search` narrowed to a closed enum (snippets, basic); previously valid values may now be rejected.","severity":"breaking"}],"published_at":"2026-10-09T14:10:11.611Z"}]