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Spotify MCP Server and API by Cotlet

Save to Liked Songs in Spotify

spotify_save_to_liked_songs
Read-onlyIdempotent

Save to Liked Songs in the user's own Spotify account from ChatGPT, Claude or any AI agent. Returns how to do it in Spotify step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Spotify Cloud Browser. Spotify's official API: Spotify has a full Web API and, since 23 Apr 2026, an official connector for Claude (checked 5 Nov 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": "spotify_save_to_liked_songs"
  }
}

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 declare readOnlyHint=true, destructiveHint=false and idempotentHint=true, and the description is consistent with them while adding real value: it states the tool 'opens nothing by itself' and that the return value is a procedure with screens, buttons and fields. That tells the agent the tool is inert guidance and what comes back. It does not cover failure modes, such as what happens if the user is not logged into Spotify.

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 is strong — the step-by-step return contract and the cotlet_browser_* handoff are front-loaded and useful. But the trailing sentence about Spotify's official Web API and a Claude connector reads as an aside that earns no place in a tool definition and may mislead an agent into pursuing an API route instead, and the 'ChatGPT, Claude or any AI agent' enumeration 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 zero parameters, no output schema and read-only annotations already covering the safety profile, the description does the heavy lifting: it says what is returned (screens, buttons, fields) and how the action actually gets performed (cotlet_browser_*). Enough to call correctly. It is only slightly short of complete because it omits preconditions like an authenticated Spotify Cloud Browser session.

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 no parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. No parameter-level meaning is required or withheld.

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 clarifies that despite the name, the tool does not perform the save — it 'Returns how to do it in Spotify step by step (screens, buttons, fields)' while 'opens nothing by itself'. That resolution of the name/behavior gap and the handoff to cotlet_browser_* distinguishes it from siblings that actually mutate Spotify data. It stops short of a single crisp verb-first statement of purpose, burying the lead in a long first sentence.

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 gives an explicit two-step workflow: call this first to get the step-by-step procedure, then execute it with the cotlet_browser_* tools in the user's Spotify Cloud Browser. What is missing is any exclusion — it never says when NOT to use it (e.g. when the user wants a direct API action via the spotify_* siblings) and the closing note about Spotify's official Web API/connector is never framed as an alternative course of action, leaving its role ambiguous.

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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