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AniList MCP Server and API by Cotlet

List your anime list in AniList

anilist_list_your_anime_list
Read-onlyIdempotent

List your anime list 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_list_your_anime_list"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely non-obvious behavior beyond that: that it 'opens nothing by itself' and returns screen/button/field steps rather than data, which signals the output is instructional rather than a live list — an important expectation-setting detail an agent could not infer from annotations.

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 action and the 'opens nothing by itself' caveat are reasonably front-loaded, but the second sentence is a dense run-on and the closing line about AniList's GraphQL API and the 'checked 17 Oct 2026' audit note is meta trivia that does not help an agent decide or act. Trimming that trailing sentence would improve the definition.

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

Completeness3/5

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

For a zero-parameter guide tool with no output schema, the description covers what it returns and what to do next, so it is close to sufficient. What it omits is the shape of the returned content in any actionable detail and any hint about what an agent should do if the returned steps fail or if the user is already inside a browser session — leaving a gap between this tool and the cotlet_browser_* chain.

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, which is the correct baseline-4 case. There is no parameter meaning for the description to add, and the description does not waste space inventing any.

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 explicitly corrects the potentially misleading name by stating the tool 'Returns how to do it in AniList step by step (screens, buttons, fields) and opens nothing by itself' — so it is a guide-producing tool, not an actual lister. It also distinguishes itself from the cotlet_browser_* siblings by naming them as the follow-up action, which lets an agent place it correctly in a sequence.

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

Usage Guidelines3/5

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

It gives a clear forward workflow ('then do it with the cotlet_browser_* tools in the user's AniList Cloud Browser'), which implies when to call this. However, it offers no exclusions or alternatives among the anilist_* siblings (e.g., when to prefer anilist_update_list_entry or cotlet_app_guide instead), and never states the preconditions for using this versus calling the browser tools directly.

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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