Skip to main content
Glama

AniList MCP Server and API by Cotlet

Rate anime or manga in AniList

anilist_rate_anime_or_manga
Read-onlyIdempotent

Rate anime or manga 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_rate_anime_or_manga"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true and openWorldHint=false, and the description is consistent with all of them by explicitly saying it 'opens nothing by itself.' It adds real context beyond the annotations: it returns procedural instructions rather than data, and completion requires a separate browser session. It does not say whether the returned steps vary by anime vs manga or by list state, which is the remaining behavioral gap.

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 key point (returns steps, performs nothing) is front-loaded in the first sentence, which is good. But the closing sentence about AniList's public GraphQL API and a '(checked 17 Oct 2026)' date is promotional noise that does not help an agent decide or invoke, and 'from ChatGPT, Claude or any AI agent' is filler.

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?

With no output schema, the description must explain the return value, and it does so at a useful level: step-by-step screens, buttons and fields. Combined with the explicit handoff to browser tools, an agent has enough to act. It stops short of describing how the guide is scoped to a specific title, which is the one thing left ambiguous.

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, so the schema is already complete and the baseline of 4 applies. The description correctly implies that media type and target title must be conveyed in the follow-up browser actions rather than as arguments, though it does not say so explicitly.

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 states a concrete outcome: it 'Returns how to do it in AniList step by step (screens, buttons, fields)' and clarifies the tool itself 'opens nothing by itself.' That distinguishes it from the cotlet_browser_* siblings it hands off to. It loses a point because the name/title ('Rate anime or manga') reads like an action, so the agent only learns it is a guide rather than a mutation by reading the second sentence.

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?

There is a clear workflow instruction — get these steps, then execute them with the cotlet_browser_* tools in the AniList Cloud Browser — which is genuine when-to-use guidance. However, there is no differentiation from anilist_update_list_entry, which is the obvious alternative for changing a score on an existing list entry; the agent cannot tell from this text which one to pick.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources