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Crawlora MCP

Crawlora MCP

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by Crawlora-org
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JavaScript
Remote

soundcloud_user_tracks

Retrieve a SoundCloud user's uploaded tracks by providing their profile URL. Returns tracks most recent first, including title, artwork, and playback/likes/comment/repost counts.

Instructions

Get a SoundCloud user's own uploaded tracks. Returns a user/artist's own uploaded tracks, most recent first: title, artwork, playback/likes/comment/repost counts. Public data sourced from SoundCloud's own JSON API.

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": {
      "url": "<url>"
    },
    "name": "soundcloud_user_tracks"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesFull soundcloud.com user/artist profile URL
limitNoNumber of tracks to return (default 20, max 50)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.14.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the transparency burden. It discloses that the data is public, sourced from SoundCloud's JSON API, sorted newest first, and includes the specific counts returned. It could additionally mention rate limits, error cases, or authentication, but 'public data' sufficiently signals the read-only and access profile.

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

Conciseness5/5

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

Two sentences, no wasted words. The main action and scope come first, followed by return fields and data source. Every sentence earns its place and the description is easy to scan.

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?

Given the simplicity of the tool and that the input schema documents the two params, the description covers the core needed information: what is fetched, the ordering, the returned fields, and the public data source. With no output schema, it might have briefly noted the overall response shape, but it already tells an agent enough to call and interpret the result.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema itself already documents the url and limit parameters well. The description adds ordering and output fields but not new parameter-level meaning, keeping this at the baseline for well-covered schemas.

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?

The description states a specific verb and resource: get a SoundCloud user's own uploaded tracks, ordered most recent first. It clearly differentiates this from sibling tools like soundcloud_search, soundcloud_profile, and soundcloud_track by emphasizing 'own uploaded tracks' and naming the exact returned fields.

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?

The description clearly implies when to use it: when an agent needs an artist's original uploads rather than playlists, profiles, or generic search results. It gives clear contextual guidance, though it does not explicitly name alternative tools or state when-not-to-use conditions.

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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