spotify-mcp

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

With no annotations provided, the description carries the full burden. It adds valuable behavioral context by specifying the valid decade range ('1960s through 2020s'), but fails to disclose mutation specifics (public vs. private playlist, catalog vs. library sources, idempotency).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single-sentence structure is efficient and front-loaded with the action verb. However, given the lack of annotations and schema descriptions, the extreme brevity results in under-specification rather than optimal conciseness.

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

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

While an output schema exists (reducing description burden for return values), the tool has undocumented parameters and behavioral gaps. For a mutation tool with 0% schema coverage, the description should elaborate on parameter semantics and side effects.

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

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

Schema coverage is 0%, requiring the description to compensate. It partially succeeds by explaining the 'decade' parameter format and valid values, but leaves 'name' (custom playlist name?) and 'limit' (track count?) completely undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the core function ('Create a playlist') and unique scope ('tracks from a specific decade'), distinguishing it from siblings like spotify_create_playlist (generic) or spotify_discover_by_mood (mood-based). However, it lacks clarity on track selection methodology (e.g., popular hits vs. personal library).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like spotify_create_playlist (manual curation) or spotify_time_capsule (personal history). No prerequisites or exclusions are mentioned.

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