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auxa-m45

soundcloud-mcp

by auxa-m45

Raw SoundCloud API request

soundcloud_api_request

Call any SoundCloud API endpoint directly with stored credentials when no dedicated tool covers your need. Get raw JSON, or enable pagination for compact pages.

Instructions

Escape hatch: call any https://api.soundcloud.com endpoint directly with the stored credentials. Use only when no dedicated tool covers the need (see the soundcloud skill's api-reference). Returns the raw JSON; set paginate=true to add linked_partitioning and get a compact page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
authNoauto = user token if logged in else app token; user = require loginauto
bodyNoJSON body for POST / PUT
pathYesPath such as /tracks/soundcloud:tracks:123/related
queryNoQuery parameters
methodNoGET
accountNoLogged-in SoundCloud account to act as: alias, username or user URN. Omit to use the active (default) account; soundcloud_auth_status lists them.
paginateNoGET only: request linked_partitioning and return a compact page
Install Server

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already communicate readOnly=false and openWorldHint=true. The description adds useful behavioral context: it uses stored credentials, returns raw JSON, and paginate=true adds linked_partitioning for a compact page. It could warn more about arbitrary POST/PUT/DELETE side effects, but 'call any endpoint' plus openWorldHint substantially covers that.

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?

Three sentences with no filler: the escape-hatch intent is front-loaded, the usage rule is stated clearly, and the return/pagination behavior is summarized efficiently. Every sentence earns its place.

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?

For an open-ended raw API client, the description covers purpose, when to use it, return format, and pagination behavior. It does not explicitly describe auth/account switching or error handling, but those are documented in the schema and sibling auth tools, so the core guidance is complete for an expert escape-hatch tool.

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 high (86%), so the parameter burden is mostly carried by the schema. The description adds little about individual parameters beyond what the schema already documents, such as the paginate behavior and stored credentials. This is adequate but not additive beyond the structured schema.

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 uses a specific verb ('call') and a clear resource ('any https://api.soundcloud.com endpoint'), and labels itself an 'escape hatch' for cases no dedicated tool covers. This strongly distinguishes it from the extensive list of specialized SoundCloud sibling tools.

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

Usage Guidelines5/5

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

It explicitly states when to use the tool: only when no dedicated tool covers the need, and points to the skill's api-reference for the dedicated alternatives. This gives the agent a clear routing rule and an exclusion condition.

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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