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AniList MCP Server and API by Cotlet

Reply to activity in AniList

anilist_reply_to_activity
Read-onlyIdempotent

Reply to activity 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_reply_to_activity"
  }
}

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, idempotentHint and destructiveHint=false, and the description reinforces this with the concrete claim 'opens nothing by itself' — a genuinely useful disclosure that no state is mutated. It adds the return-shape hint ('screens, buttons, fields') beyond the annotations. It could go further on whether a browser session must already exist, but it is consistent and additive.

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 core behavior is front-loaded and clear, but the opening audience list ('from ChatGPT, Claude or any AI agent') and the closing trivia about AniList's GraphQL API and a checked date do not help an agent decide or invoke. The middle sentence also packs two ideas (returns instructions / use browser tools) into one semicolon-joined clause.

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 simple zero-parameter instructional tool, the essentials are present: what it returns, that it mutates nothing, and which tools finish the job. Missing are the prerequisites (existing Cloud Browser session, logged-in account) and any statement of what the returned steps look like or how the agent should pass the reply text along.

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?

With zero parameters the baseline is 4, and the schema is empty by design. The description does not need to explain parameters, though it also does not clarify that the activity and reply content must be supplied by the user in conversation, which is the one semantic point worth stating for a parameterless 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 states a specific verb and resource (reply to AniList activity) and, importantly, corrects the impression created by the name: the tool does not perform the reply, it returns step-by-step instructions. That distinction from the cotlet_browser_* siblings is made explicit. It stops short of 5 because it never says how the target activity or reply text is identified, which is confusing for a tool with no parameters.

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 usable workflow ('returns how to do it ... then do it with the cotlet_browser_* tools'), which is clear context for when to call it. It does not say when NOT to use it, nor how it differs from the closely related cotlet_app_guide sibling, and there is no stated prerequisite such as an open, logged-in Cloud Browser session.

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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