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Grinv

TMDB MCP Server

Get movie details

get_movie
Read-only

Retrieve complete movie details from a TMDB ID: overview, genres, runtime, budget, ratings, age certification, and links. Includes IMDb, Rotten Tomatoes, and Metacritic scores plus awards summary.

Instructions

Get full details for one movie by TMDB id: overview, genres, runtime, budget/revenue, vote average, the age/content rating (certification) for region — falling back to the US rating, then any available country, when region has none; check certification_region to see which one was used — and links (TMDB + IMDb). By default also includes IMDb/Rotten Tomatoes/Metacritic ratings and an awards summary (see include_ratings), plus OMDb's own age rating (ratings.rated — separate from this tool's own certification above; the two can differ) from OMDb (set include_ratings=false to skip); if unavailable (no OMDB_API_KEY, no imdb_id, or the OMDb lookup fails), ratings degrades to {found:false, reason} instead of failing the call. If you only need the headline info (title/year/genres/vote average) — for one id or several — use get_movies instead; it's trimmed on purpose and skips the rest of this payload. Get the id from search_movies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesTMDB numeric id.
regionNoISO-3166-1 country code for region-specific results (default 'US').
languageNoOverride the response language (ISO-639-1, optionally with a region), e.g. 'ru-RU' or 'en-US'. Localizes titles/overviews/genre names. Defaults to the server's TMDB_LANGUAGE.
include_ratingsNoIf true (default), enrich the result with IMDb/Rotten Tomatoes/Metacritic ratings plus an awards summary (major-award wins/nominations — Oscars, Emmys, Golden Globes, etc., whatever OMDb aggregates; free text, not a structured count, and describes the whole film/show, not any one person's award) from OMDb (requires OMDB_API_KEY). Set false to skip the extra lookup when ratings are not needed.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
yearYes
titleNo
genresYes
statusYes
imdb_idYes
ratingsNo
taglineYes
homepageYes
imdb_urlYes
overviewYes
tmdb_urlYes
budget_usdYes
collectionYes
media_typeYes
popularityYes
poster_urlYes
vote_countYes
revenue_usdYes
release_dateYes
vote_averageYes
certificationYes
certificationsYes
origin_countryYes
original_titleNo
runtime_minutesYes
spoken_languagesYes
original_languageYes
certification_regionYes
production_companiesYes
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the readOnlyHint and openWorldHint annotations, the description discloses several important behaviors: certification fallback logic (region → US → any country), the degradation of 'ratings' to {found:false, reason} when OMDb is unavailable rather than failing, and the distinct nature of OMDb's ratings.rated vs the tool's own certification. This is rich, honest disclosure that anticipates real-world edge cases.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is long but densely packed with necessary information, and it is well-structured: main purpose, then certification details, then ratings/fallback, then guidance to alternatives. Every sentence earns its place; however, it could be slightly tightened without losing critical context. Still, the complexity of the tool justifies the length, so it's not padded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (multiple fields, fallback behaviors, optional enrichment), the description is exceptionally complete. It covers prerequisites (OMDB_API_KEY), failure modes (degraded ratings), and the source of the ID, leaving no obvious gaps for the agent. The presence of an output schema reduces the need to explain return format, but the description already covers key behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although schema coverage is 100%, the description adds significant semantic depth: it explains how region affects certification fallback, what language does (localizes titles and genre names), and the full implications of include_ratings (including the requirement for OMDB_API_KEY and the benefit of skipping). These details go beyond the schema's bare descriptions and help the agent make informed decisions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states it retrieves full details for one movie by TMDB ID, listing many fields (overview, genres, runtime, etc.). It clearly differentiates from sibling get_movies (plural) by noting the trimmed-down headline-only nature, and from get_tv by focusing on movies. The verb 'Get' and resource 'movie details' are specific and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit when-to-use guidance: 'If you only need the headline info... use get_movies instead' and 'Get the id from search_movies.' This not only helps select the tool but also directs to the correct source for the required ID. It also explains the optional include_ratings flag and when to set it to false, providing clear alternative paths within the tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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