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SoundCloud MCP Server

SoundCloud MCP Server

by jamiew

Get track likers

get_track_likers
Read-only

Fetch the list of users who liked a given SoundCloud track; set a result limit or enable verbose fields to return full profile data.

Instructions

List the users who liked a track.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "trackId": "<trackId>"
    },
    "name": "get_track_likers"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
trackIdYes
verboseNoReturn every field SoundCloud sends, such as descriptions, not the compact summary

Output Schema

NameRequiredDescriptionDefault
next_hrefNoNext page URL; pass to next_page
collectionYesPage items

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.1.2

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds nothing about result ordering, pagination behavior, empty results, or private-track edge cases where likers may be hidden, so it does little beyond the annotations.

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

Conciseness4/5

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

A single front-loaded sentence with no filler. It is concise to a fault — short enough that it omits useful detail rather than wasting words.

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

Completeness2/5

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

An output schema exists so return values needn't be explained, and annotations cover the read-only nature. But two of three parameters lack any documentation anywhere, and pagination through next_page is unmentioned, leaving gaps an agent would need to resolve by trial.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 33%: only 'verbose' is documented in the schema, while 'trackId' and 'limit' have no descriptions. The description does not compensate — it says nothing about trackId accepting a string or number, or that limit defaults to 50 and caps at 200.

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

Purpose5/5

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

Specific verb ('List') plus resource ('users who liked a track') plus the parent resource (track). It is clearly distinguished from siblings like get_track_reposters and get_user_likes, which cover adjacent but different relationships.

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

Usage Guidelines2/5

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

No when-to-use guidance, no mention of alternatives (get_track_reposters, get_user_likes), and no note on pagination via next_page. The agent must infer the use case entirely from the name.

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