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DJfindr

Import SoundCloud tracks as mixes

import_soundcloud

Import SoundCloud tracks as mixes. Needs content:write. Two calls. The first changes nothing: it checks the arguments as the change would (a field this tool does not take is refused, by name) and answers a summary and a confirm_token. Show the summary to the person; only after they agree, call again with the same arguments plus confirm_token.

Input Schema

NameRequiredDescriptionDefault
track_idsYes
confirm_tokenNoLeave out on the first call. On the second call, the confirm_token the first call answered.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

With annotations only declaring mutation/idempotency hints, the description adds substantial context: the required content:write scope, the non-mutating validation behavior of the first call, the named-field rejection behavior, and the summary plus confirm_token response. This is exactly the behavior an agent cannot infer from 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.

Conciseness5/5

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

The purpose and the two-phase protocol are front-loaded, and every sentence adds either a constraint, a safety condition, or a required action. No filler and no repetition of the schema.

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 a two-parameter mutation tool without an output schema, it covers the critical gaps by describing what the first and second calls return and what the agent must do with the summary. The remaining hole is track_ids format and provenance, plus what the second call yields.

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 coverage is 50%: confirm_token is already documented in the schema, and the description only restates its two-call usage. The required track_ids parameter is an empty schema with no description anywhere, and the description never says what form those IDs take or where to obtain them (list_soundcloud_tracks is never mentioned).

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: 'Import SoundCloud tracks as mixes.' That is concrete enough to separate it from generic siblings like import_file or create_mix, though it never explicitly names those alternatives to confirm the distinction.

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 a clear two-step protocol (call, show summary to the person, call again with confirm_token) which functions as strong when-to-use guidance. It does not, however, compare itself to import_file or say when a bulk vs. single import is appropriate.

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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