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split_playlist

Divide any Spotify playlist into multiple new playlists by choosing how many parts to create (2–10). Preview with dry run before applying, and control public visibility and naming.

Instructions

Split a playlist into N chunks (new playlists). Quota: 🟡 GET all + N POST /me/playlists + N POST items.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
partsYesNumber of parts (2–10)
publicNoPublic flag for new playlists
dry_runNoPreview only: validate inputs and describe exactly what would change without performing it
name_prefixNoPrefix for new playlist names (default: source name)
playlist_idYesSource playlist ID
Behavior3/5

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

The description discloses that the tool creates new playlists and provides an API quota breakdown, which is meaningful side-effect context. However, it does not state whether the source playlist is left unchanged, what permissions are needed, or how dry_run behaves beyond the schema description.

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 extremely concise, front-loaded with the core action, and the quota sentence adds valuable behavioral context without waste.

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?

The description is adequate for basic invocation given the strong schema, but it lacks sibling differentiation, explicit source-playlist behavior, and default visibility semantics. These gaps matter for a mutating tool with no annotations or output schema.

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 parameters are already well documented. The description adds quota context but no additional meaning for individual parameters, matching the baseline score.

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 clear action and outcome: split a playlist into N chunks as new playlists. However, it does not differentiate from the sibling split_playlist_by_count, which appears to serve the same purpose.

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?

There is no guidance on when to use this tool versus split_playlist_by_count or split_playlist_by_duration. The quota note is useful but does not explain selection criteria or exclusions.

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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