changedInput schema / properties / requests / items / properties / sources / description
Previous value: -"Which sources to search — several can run at once; pick from where that kind of material actually is. Web and news: `google` (organic results plus related searches), `duckduckgo` (a second index whose first page mostly does not overlap Google's — run both), `web-mentions` (where a phrase turns up across the web, one page per site with the passage around it; reaches far past a first page, strong on subjects and terms, weak on bare brand names), `google-news` (news coverage: headline, publisher and date, no article text). Research and work: `google-scholar` (papers with citation counts; can also list what cites a given paper), `google-patents` (patents; at most 500 per search), `google-jobs` (job openings; nothing anywhere in the EEA). Social and video: `reddit` (posts; one community, an ordering or a period are settings, not terms), `tiktok` (one feed at a time — videos matched on the terms, accounts, or the videos under a single tag; which of the three is a setting, as are an ordering and a period on the video feed), `threads` (up to 10 public posts; takes a topic term of two or three words, not a sentence — an unrecognised term returns nothing), `youtube` (videos; one country's edition at a time, with no way to sort or filter what comes back). Places and travel: `google-maps` (places — the query names a place or a category of place, not a sentence; not a source of product reviews, and reviews of a place come from `advanced_web_fetch` on its link), `business-listings` (every business of a kind in one place — up to 1000 separate addresses with rating, review count, hours and attributes, selected by category, city and rating floor rather than ranked by relevance), `tripadvisor` (hotels, restaurants and things to do in one named place at a time), `google-hotels` (properties priced for the dates named in `searchOptions`, or for a sample stay the results state), `google-flights` (one route on one day, one-way prices, searched by airport). Shopping: `amazon`, `walmart` (US store only) and `google-shopping` (one country's storefront) — product listings, not product pages. Apps and reputation: `google-play`, `app-store` (one national store each), `trustpilot` (companies and their review scores, worldwide). Ad libraries: `facebook-ads`, `linkedin-ads`, `tiktok-ads` and `google-ads` — which ads carry given words, or everything one company advertises — naming the advertiser is a setting, and doing so replaces the word search rather than narrowing it (`google-ads` only lists by advertiser and cannot search wording at all); none of them publishes what an ad cost or who saw it. Most sources read one country or store at a time. A market, an ordering, a period, or narrowing to a single community, account or seller are settings: say them in `searchOptions` and they reach the source through its own controls where it has them, instead of being searched for as words. Four sources answer with something whatever they are given: `google-shopping` returns unrelated products, `google-hotels` an unrelated town and `google-maps` unrelated places rather than nothing, and `tripadvisor` matches a place named only in the query as text inside venue names."New value: +"Which sources to search — several can run at once; pick from where that kind of material actually is. Web and news: `google` (organic results plus related searches), `duckduckgo` (a second index whose first page mostly does not overlap Google's — run both), `web-mentions` (where a phrase turns up across the web, one page per site with the passage around it; reaches far past a first page, strong on subjects and terms, weak on bare brand names), `google-news` (news coverage: headline, publisher and date, no article text). Research and work: `google-scholar` (papers with citation counts; can also list what cites a given paper), `google-patents` (patents; at most 500 per search), `google-jobs` (job openings; the country is a setting, the city stays in the terms). Social and video: `reddit` (posts; one community, an ordering or a period are settings, not terms), `tiktok` (one feed at a time — videos matched on the terms, accounts, or the videos under a single tag; which of the three is a setting, as are an ordering and a period on the video feed), `threads` (up to 10 public posts; takes a topic term of two or three words, not a sentence — an unrecognised term returns nothing), `youtube` (videos; one country's edition at a time, with no way to sort or filter what comes back). Places and travel: `google-maps` (places — the query names a place or a category of place, not a sentence; not a source of product reviews, and reviews of a place come from `advanced_web_fetch` on its link), `business-listings` (every business of a kind in one place — up to 1000 separate addresses with rating, review count, hours and attributes, selected by category, city and rating floor rather than ranked by relevance), `tripadvisor` (hotels, restaurants and things to do in one named place at a time), `google-hotels` (properties priced for the dates named in `searchOptions`, or for a sample stay the results state), `google-flights` (one route on one day, one-way prices, searched by airport). Shopping: `amazon`, `walmart` (US store only) and `google-shopping` (one country's storefront) — product listings, not product pages. Apps and reputation: `google-play`, `app-store` (one national store each), `trustpilot` (companies and their review scores, worldwide). Ad libraries: `facebook-ads`, `linkedin-ads`, `tiktok-ads` and `google-ads` — which ads carry given words, or everything one company advertises — naming the advertiser is a setting, and doing so replaces the word search rather than narrowing it (`google-ads` only lists by advertiser and cannot search wording at all); none of them publishes what an ad cost or who saw it. Most sources read one country or store at a time. A market, an ordering, a period, or narrowing to a single community, account or seller are settings: say them in `searchOptions` and they reach the source through its own controls where it has them, instead of being searched for as words. Four sources answer with something whatever they are given: `google-shopping` returns unrelated products, `google-hotels` an unrelated town and `google-maps` unrelated places rather than nothing, and `tripadvisor` matches a place named only in the query as text inside venue names."