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sjtan2302

spotify-mcp

by sjtan2302

How my taste is changing

taste_evolution

Compare your top artists across short, medium, and long-term windows to identify rising, fading, and consistent favorites, revealing your listening direction without Spotify history.

Instructions

Compares top artists across all three time windows to show who is rising, fading, and constant. Spotify exposes no listening history, so this diff is the only way to see direction of travel.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It explains the internal mechanism—comparing top artists across three time windows—and the motivating limitation of Spotify's API. It does not state whether the operation is read-only, how many API calls may be involved, or what the output format is, but the conceptual transparency is adequate for a simple analytical tool.

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 sentences, no redundancy. The core action and purpose are front-loaded, and the second sentence provides useful context without padding. Every word earns its place.

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?

For a one-parameter analytical tool with no output schema, the description covers the main purpose and rationale well. However, it leaves the meaning of 'all three time windows' implicit and fails to clarify the return shape or how 'limit' affects results. A bit more detail would make it complete.

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 description coverage is 0%, and the description makes no mention of the single 'limit' parameter. The schema provides type, default, and min/max constraints, but the description does not compensate by explaining what the limit applies to (e.g., number of artists per window). This is a notable gap.

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 opens with a specific verb and resource: 'Compares top artists across all three time windows'. It clearly defines the tool's purpose in terms of rising, fading, and constant artists. The final sentence ('the only way to see direction of travel') differentiates it from sibling tools that likely show static snapshots.

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 gives clear when-to-use context: when you want to see the direction of taste change. The statement that Spotify exposes no listening history and this diff is the only way establishes the tool's unique role. However, it does not explicitly name sibling alternatives or state when not to use it, stopping short of a 5.

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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