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spotify_playlist_analysis

Analyze Spotify playlists to identify top artists, genre distribution, decades, and duration. Get detailed composition breakdowns and music insights.

Instructions

Analyze a playlist's composition including top artists, genre distribution, decades, and duration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
playlist_idYes

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 carries the full burden of behavioral disclosure. It successfully communicates what analysis is performed (composition breakdown by artists, genres, decades, duration) but fails to mention authentication requirements, rate limits, or whether the analysis is computationally expensive. The term 'analyze' implies read-only behavior, which is helpful.

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 a single, efficiently structured sentence of 11 words. Every clause earns its place by specifying a distinct analytical dimension. Information is front-loaded with the action verb 'Analyze' and immediately qualified by the specific composition aspects covered.

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?

Given that an output schema exists, the description appropriately omits return value details. However, with zero schema coverage for the required parameter and no annotations, the description leaves a critical gap in documentation. The analysis dimensions listed provide adequate context for the tool's capabilities, but the missing parameter documentation prevents proper invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage (only a title 'Playlist Id' with no description field). The description makes no mention of the 'playlist_id' parameter, its format (Spotify URI vs ID), or how to obtain it. With zero schema coverage, the description completely fails to compensate for this documentation gap.

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 specifies the analytical dimensions performed (top artists, genre distribution, decades, duration). However, it does not explicitly differentiate from sibling tools like 'spotify_get_playlist' (which likely returns raw metadata) or 'spotify_playlist_vibe' (which analyzes mood), leaving potential ambiguity about which playlist tool to select.

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 guidance provided on when to use this versus alternatives. The description does not mention that this performs analytics versus simple retrieval, nor does it reference related tools like 'spotify_playlist_compare' for comparative analysis or 'spotify_get_playlist' for basic metadata.

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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