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Grinv

AniList MCP Server

Get your AniList notifications

get_notifications

Retrieve the authenticated user's AniList notifications, filter by type, and optionally mark them as read. Shows new episodes, activity interactions, follows, thread replies, and submission updates.

Instructions

[Requires login] Get the authenticated user's AniList notifications: new episodes airing, activity likes/replies/mentions, new followers, thread replies/likes, and media/staff/character data-submission updates. Every item has id, type and a human-readable context/contexts string; the rest of the fields depend on type (e.g. an AIRING item includes media/episode, a FOLLOWING item includes user, an ACTIVITY_MESSAGE item includes message.message — the actual DM text is nested one level inside message).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for pagination. AniList's paginated connections (search results, a title's characters/staff/reviews, activity feeds, forum comments) reject a page whose page × perPage exceeds ~5000 entries with an upstream error, so paging that deep fails rather than returning more results.
perPageNoResults per page (max 25).
type_inNoRestrict to these notification types. Omit to get every type. This only filters what's returned here — whether a type is generated at all is controlled separately by the account's own notificationOptions (update_user); a type disabled there simply never appears, regardless of this filter.
markAsReadNoSet true to also reset AniList's unread-notification badge count to 0, as a side effect of this call (the same effect as opening the notifications page on the site). Defaults to false so a routine check doesn't clear the badge.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes
Behavior5/5

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

Annotations already indicate non-read-only and non-idempotent behavior, and the description adds specific details: markAsRead resets the unread badge as a side effect, and type_in only filters results without affecting which types are generated (controlled by account notificationOptions). It also explains type-dependent field structures, going well beyond the annotations.

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 only two sentences and front-loaded with the login requirement. The first sentence efficiently lists capabilities; the second is a bit dense with nested examples but each part adds value. Slightly complex sentence structure keeps it from a 5.

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 an output schema exists and the description covers the essential behavior (login, notification types, side effects, type-dependent fields, filter nuance), it is fully complete for an agent to select and invoke the tool correctly. Nothing critical is missing.

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

Parameters3/5

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

Schema coverage is 100% with each parameter (page, perPage, type_in, markAsRead) already having detailed descriptions. The tool description doesn't add new parameter-level semantics beyond what the schema provides, so the baseline 3 is appropriate.

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 clearly states the tool fetches the authenticated user's AniList notifications and enumerates the notification types (airing, likes, replies, mentions, followers, etc.). This distinguishes it from sibling tools like get_user_activity and get_activity, which handle general activity feeds rather than notifications.

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?

It explicitly says '[Requires login]' and specifies this is for the authenticated user, clarifying when to use it. It doesn't explicitly name alternatives or exclusions, but the focus on notifications versus activity is clear from the description and sibling context.

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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