ChatGPT Plugin

Book Finder: Sustainable Books

Book recommendations for you

Brand: Unknown

Category: Pending
Primary Subcategory: Pending

Integration details

Description

Find your next read with personalized book recommendations from the Sustainable Books used-book catalog. Tell ChatGPT about books or authors you enjoy, the kind of reading you want, and any budget, language or length preferences. Find books similar to your favorites, explore authors you might enjoy, or look up a specific title. Search available copies in our catalog, compare recommendations, and see book covers, prices, condition and other listed details. A final Custom Mystery Box option opens our shop with editable reading preferences prefilled. Choose a box size and review its separate price there. The book finder excludes mature and sexually explicit content. Available for shoppers in Canada and the United States, with prices in CAD or USD. No store account is needed to browse. Recommendations reflect ChatGPT's judgment; catalog facts and missing details are shown separately. Mood, similarity, age suitability and content warnings are not guaranteed by the catalog. Open the selected copy in the Sustainable Books Shopify store to buy it. The plugin does not place orders, collect payment details or access your customer account. Prices and availability can change; shipping, taxes and final availability are confirmed in the shop.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Unknown
Access: No account required
First tracked: 2026-11-06
Tool count: 2
Market: US

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Book Finder: Sustainable Books has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.

Tools

2 tools agents can invoke

Find available books for reader preferences using up to six separate focused queries. Return a broad candidate list (up to 60) for your judgment. Supply country only when the reader has chosen it; otherwise omit country and let the server resolve the optional ChatGPT country hint. Never infer country from locale, language, timezone, city or IP. If the tool asks for a country, ask Canada or United States. Use the returned country for get_book_cards and convey any approximate-country notice. Do not call for mature/adult-content requests; explain the restriction first. Independently screen returned candidates before recommending them. Apply the same strict country, budget, page count, language and excluded-author filters again in get_book_cards. Missing metadata cannot satisfy a strict filter. Queries are sent to Shopify; include book preferences only, never sensitive personal information.
search_books
Refetch selected book IDs, show up to four book cards in a 2-by-2 grid and prepare an editable Custom Mystery Box product link. An empty selection is allowed when no books fit. The optional readingRequest is needed only for this box-link prefill: use book-preference text from the user’s request, omit sensitive or unrelated personal details, and never send chat history. This text is encoded in the returned link fragment; it is not sent to Shopify search, stored or logged by this service, or used to create a cart/order. Copy the book request verbatim when it contains only reading preferences. Do not add inferred preferences or paraphrase requests under 1000 characters. Select only books you have screened for general-audience content; do not pass known or suspected mature/adult titles. Supply a short recommendation reason per selected book. Repeat the reader’s hard filters and the returned country from search_books, unless the reader has corrected their shopping country. If no country has been chosen or returned, omit it; the server may use ChatGPT’s optional country hint or ask Canada or United States. Never invent country from locale, language, timezone, city or IP. Only selected books that still meet the filters are shown; inspect notices for omissions. The widget already presents the complete recommendation; add only a short summary, not another table or list. If fallback links are needed, copy each returned productUrl exactly, including every utm_ parameter and the entire mystery-box preference fragment. Never shorten, clean or reconstruct these URLs: doing so breaks attribution and prefill.
get_book_cards

FAQs