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Grinv

AniList MCP Server

Get anime/manga details

get_media
Read-only

Retrieve detailed information about anime or manga by their AniList IDs, including rankings, next airing episode, and external links.

Instructions

Get detailed information about one or more anime or manga by their AniList ID(s): title, format, status, episode/chapter/volume count, genres, score, synopsis, dates, and rankings — AniList's own ranking badges (e.g. "#134 highest rated all time", "#11 highest rated 2024"), one entry per rated/popular ranking window the title currently appears in. Also returns nextAiringEpisode (for currently-releasing anime), externalLinks (official sites, streaming platforms), and — [requires login] — mediaListEntry, the authenticated user's own list entry for this title, or null if it isn't on their list. Use search_media first to resolve a title to its AniList ID. Returns a single object if ids is a single ID, or an array (same order as ids) if ids is an array.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsYesA single AniList anime/manga ID, or an array of IDs to fetch in one call.
typeYesWhether `id`/`ids` refers to anime or manga.
includeStreamingEpisodesNoAlso fetch `streamingEpisodes` (per-episode streaming links). Kept off by default — AniList doesn't paginate this field, so a long-running title can return hundreds of entries.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
mediaYes
Behavior5/5

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

Annotations (readOnlyHint, openWorldHint) are supplemented with important behavioral details: login required for mediaListEntry, streamingEpisodes can be large and is off by default, return shape (single object vs array). No contradiction.

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?

Well-structured and front-loaded with core details, then special cases. Slightly long at ~150 words but each sentence adds necessary information.

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?

With output schema present, description covers all relevant behavior: return fields, auth requirements, batch handling, large response warning. Fully adequate for a tool with 3 parameters.

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

Parameters4/5

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

Schema covers all parameters (100%). Description adds value: explains that ids can be single or array affecting return shape, and that includeStreamingEpisodes is off by default due to pagination.

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 uses specific verbs ('Get detailed information') and clearly names the resource ('anime or manga by their AniList ID(s)'). It distinguishes itself from siblings like search_media (which resolves titles to IDs) and lists distinct return fields.

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

Usage Guidelines4/5

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

Explicitly advises to 'Use search_media first to resolve a title to its AniList ID.' and explains when to use a single ID vs array. Does not explicitly state when not to use it, but the context is clear.

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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