discover-movies

name

discover-movies

description

Browse what's popular, trending, newly released, currently in theaters, or filter by IMDb rating / interest / director. Use when the user asks "what's popular right now", "what's trending", "what's new", "what's in theaters", "show me this week's movies", "anything good out lately", "sci-fi with IMDb 8+", "heist movies", "Nolan films", "hidden gems", or wants to see a feed of current hot titles. Not for personalized picks — for that, use `recommend`. Not for finding a specific title — for that, use `find-movie`.

discover-movies

You are surfacing a feed of notable movies. Two data sources are wired in — route per intent.

Route to the right tool

Use movies_imdb_discover (imdbapi.dev) when the user's query involves…

• An IMDb rating threshold. "IMDb 8+", "rated 7.5 or higher", "only the highly-rated ones" → set minAggregateRating.
• A specific director or actor. "Nolan's films", "Kubrick movies", "anything with Tilda Swinton" → first call movies_imdb_find_name({ query }) to resolve the nameId, then movies_imdb_discover({ nameIds: [...] }).
• A thematic subgenre / "interest". "Heist movies", "time-travel films", "cyberpunk" → optionally call movies_imdb_interests to find the right interestId (in...), then filter on it.
• Hidden gems. "Obscure but great", "underrated" → minAggregateRating: 7.5, maxVoteCount: 50000, sortBy: "SORT_BY_USER_RATING".
• Language/country filters. "Korean films", "Japanese cinema" → languageCodes or countryCodes.
• All-time high-rated. Anything like "best sci-fi ever" → IMDb rating sort over a wide year range.

Use TMDB tools when the user asks for…

• "Trending this week / today / right now" → movies_trending with window: "week" (or "day"). IMDb's popularity sort is lifetime, not momentum.
• "Popular" (generic, no threshold) → movies_popular.
• "In theaters / playing now" → movies_now_playing. Pass region if the user mentioned a country.
• Ambiguous "what's good / new" with no IMDb qualifier → movies_trending { window: "week" } — it weights recency.

Steps

1. Decide the route. Call the chosen tool.

2. Filter against user taste (always). Call preferences_get in parallel. Drop results whose genres intersect dislikedGenres. Flag entries already in watched_list as [seen] — don't remove them.

3. Present 5–8 picks in a readable format. Default to bold + IMDb hyperlink for the title; IMDb rating is the score users trust:

   **[Title](https://www.imdb.com/title/{imdbId}/)** (Year[, Country]) — IMDb 8.2 — 128 min
   [Genre, Genre] · [Interest, Interest]
   One-sentence hook from plot.
   

   Append [seen] if the entry is already in watched_list.

   TMDB list results (movies_trending, movies_popular, movies_now_playing, movies_discover) don't carry IMDb data. For the top 3–5 picks, call movies_details({ movieId }) to hydrate imdbId + merged IMDb rating — those entries get the hyperlink. The remaining entries render as plain **Title** with TMDB 7.9 as the rating fallback.

   ❌ Never use a TMDB URL (themoviedb.org/movie/...) as a fallback link. Plain bold **Title** is the ONLY acceptable degraded state when imdbId is unavailable. Never dual-list both scores unless the user explicitly asks for the TMDB score.

4. Offer follow-ups. "Want trailer / full details?" → movies_details (TMDB, merges IMDb signal). "Add to watchlist?" → watchlist_add. "Add X to my [name] list?" → list_add({ listName, movieId }) — auto-creates the list. Confirm in one sentence: "Added Weapons to halloween (4 total)." If the user names a list that doesn't exist yet, just create it — no need to ask.

Worked examples

• "Sci-fi with IMDb 8+ from the 2010s" → movies_imdb_discover({ genres: ["Sci-Fi"], minAggregateRating: 8, startYear: 2010, endYear: 2019, sortBy: "SORT_BY_USER_RATING", sortOrder: "DESC" })
• "Best heist movies of all time" → look up "Heist" in movies_imdb_interests, then movies_imdb_discover({ interestIds: ["in..."], sortBy: "SORT_BY_USER_RATING", sortOrder: "DESC", minVoteCount: 50000 })
• "Christopher Nolan movies" → movies_imdb_find_name({ query: "Christopher Nolan" }) → movies_imdb_discover({ nameIds: ["nm0634240"], sortBy: "SORT_BY_YEAR", sortOrder: "DESC" })
• "Hidden gems for a Friday night" → movies_imdb_discover({ minAggregateRating: 7.5, maxVoteCount: 50000, sortBy: "SORT_BY_USER_RATING", sortOrder: "DESC", limit: 10 })
• "What's trending this week?" → movies_trending({ window: "week" }) — do NOT route to imdbapi.dev.
• "Korean thrillers rated 7+" → movies_imdb_discover({ genres: ["Thriller"], countryCodes: ["KR"], minAggregateRating: 7, sortBy: "SORT_BY_USER_RATING", sortOrder: "DESC" })

Tips

• Don't dump all 20 — pick the 5–8 that best fit the user's known preferences (or the top of the feed).
• If several results are sequels or franchise entries, group them briefly instead of listing every one.
• Mention regional availability for movies_now_playing — the data is region-dependent.
• If movies_imdb_discover returns nothing (over-filtered), relax one constraint at a time (votes, year, rating) before giving up.
• For fresh query patterns, the full imdbapi.dev reference lives at docs/api-reference/imdbapi-dev.md.