Skip to main content
Glama

spotify_find_playlist_subsets

Find duplicate Spotify playlists by detecting near-subsets where one playlist's tracks mostly exist in another, using configurable thresholds to identify redundant collections.

Instructions

Scan all your playlists and find ones where one playlist is a near-subset of another. Threshold is the percentage of the smaller playlist's tracks that must exist in the larger.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
thresholdNo
owner_onlyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description explains the 'near-subset' algorithm and threshold logic adequately, but fails to clarify whether this is a read-only operation (presumed yes), performance characteristics of scanning 'all' playlists, or rate limit implications.

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 efficient sentences with zero redundancy. The first states the core function, the second clarifies the threshold parameter—appropriate given the schema lacks descriptions.

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

Completeness3/5

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

Adequate for a playlist analysis tool with an output schema (which excuses lack of return value documentation), but incomplete due to the missing 'owner_only' explanation. Given the tool's narrow scope, the description covers the essential algorithm despite gaps.

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 0%, requiring the description to carry full parameter documentation. It explains 'threshold' well (percentage of smaller playlist's tracks in larger), but completely omits 'owner_only', leaving half the parameter surface undocumented.

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 clearly states the tool scans playlists to find near-subsets and explains the threshold mechanism. However, it fails to distinguish from the sibling tool 'spotify_find_playlist_overlaps', which is a critical distinction since overlap and subset are different analytical concepts.

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 explicit guidance on when to use this tool versus alternatives (like spotify_find_playlist_overlaps or spotify_playlist_compare). No mention of prerequisites such as Spotify authentication or playlist ownership requirements implied by the 'owner_only' parameter.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/gupta-kush/spotify-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server