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AniList MCP Server and API by Cotlet

Read notifications in AniList

anilist_read_notifications
Read-onlyIdempotent

Read notifications in the user's own AniList account from ChatGPT, Claude or any AI agent. Returns how to do it in AniList step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's AniList Cloud Browser. AniList's official API: AniList has a full, free public GraphQL API but no official MCP server (checked 17 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "anilist_read_notifications"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, and the description's 'opens nothing by itself' is consistent with that, explicitly warning the agent that no side effect occurs until it drives the browser itself. The note about AniList's public GraphQL API and lack of an official MCP server adds useful ecosystem context. It doesn't describe the shape or limits of the returned instructions, keeping it below a 5.

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

Conciseness3/5

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

The critical 'opens nothing by itself' clarification is front-loaded, which is good. However, the parenthetical 'from ChatGPT, Claude or any AI agent' is marketing filler, and the dated API/MCP-server aside ('checked 17 Oct 2026') is tangential to invoking this tool and dilutes the operative instruction.

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

Completeness4/5

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

For a zero-parameter, non-destructive helper with no output schema, the description covers what the agent needs: what comes back (step-by-step screens, buttons, fields), that nothing is executed, and which tool family performs the actual work. Only finer detail, such as how granular or long the returned steps are, is absent.

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?

The tool takes zero parameters and the schema is empty, so there is no parameter meaning to convey and nothing is missing. Baseline 4 applies for a no-parameter tool.

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

Purpose4/5

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

The description names the specific resource (notifications in the user's own AniList account) and, crucially, clarifies that the tool 'opens nothing by itself' but instead returns step-by-step instructions (screens, buttons, fields). That correction is important because the name 'read_notifications' implies the read is performed here. It stops short of a crisp single-sentence statement of purpose and the naming clash leaves some initial ambiguity.

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 routes the agent explicitly: get the steps here, then perform them with the cotlet_browser_* tools in the AniList Cloud Browser. That is a clear when-to-use and a named follow-on family. It doesn't state when not to use it or which specific cotlet_browser_* tool to start with, so it falls short of full routing guidance.

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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