rekordbox-mcp

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find_broken_tracks

Identifies broken tracks and orphaned playlist entries in your Rekordbox library. Detects missing files, empty paths, and Apple Music references, preventing USB export errors.

Instructions

Scan the library for broken tracks and orphaned playlist references.

Detects:

Tracks with empty file paths
Apple Music streaming references (can't export to USB/CDJ)
Tracks pointing to files that no longer exist on disk
Orphaned playlist entries referencing deleted tracks (causes blank USB export errors)

Returns: Report with broken tracks grouped by category and a summary with counts

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": "find_broken_tracks"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Aug 2, 2026

TDQS

A4.5/5.0

Behavior4/5

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

With no annotations, the description carries full burden. It discloses that the tool scans and returns a report, without mentioning side effects. It explains the types of broken tracks it detects. It could explicitly state it makes no changes, but the read-only nature is strongly implied.

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 description is well-organized: a one-sentence purpose, a bulleted list of detection categories, and a returns section. Every sentence adds value, and the structure makes it easy to parse.

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

Completeness5/5

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

The tool is simple (no params), and the description fully covers its inputs, behaviors, and return format. The output schema is mentioned, and the description complements it by describing the report's structure. This is complete for a diagnostic tool.

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 has zero parameters, and the input schema is empty, so the baseline is 4. The description thoroughly explains what the tool does without needing parameter details.

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 ('Scan') and resource ('the library') and lists concrete detection categories. It clearly distinguishes from siblings like cleanup_orphaned_playlist_entries and remove_broken_tracks by focusing on detection and reporting rather than modification.

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 provides clear context on what the tool detects and returns, implying it is for diagnostics rather than cleanup. However, it does not explicitly name alternative tools or state when not to use it, so it stops short of explicit guidance.

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