spotify-mcp

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

With no annotations provided, the description carries the full disclosure burden. It adds value by specifying the methodology ('using artist genre data'), but omits other behavioral traits like caching, rate limits, or whether the analysis is real-time versus cached.

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 description is a single efficient sentence with no redundant words. However, given the lack of schema documentation and sibling differentiation, the extreme brevity may be insufficient rather than optimally concise.

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 the tool has only one parameter and an output schema exists (reducing descriptive burden), the 0% schema coverage and presence of similarly-named sibling tools create gaps that the description fails to fill. Critical parameter documentation and differentiation are missing.

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 description coverage is 0% (playlist_id has no description). The description mentions 'a playlist' generically but fails to document the parameter format, where to obtain valid IDs, or provide examples to compensate for the schema gap.

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 states the tool analyzes 'vibe, energy, and genre makeup' using artist genre data, which provides specific outputs. However, it fails to differentiate from the sibling tool 'spotify_playlist_analysis', leaving ambiguity about which analysis 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.

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

No guidance is provided on when to use this tool versus alternatives like 'spotify_playlist_analysis' or 'spotify_find_vibe_matches'. The agent receives no signal about prerequisites, playlist size limitations, or specific use cases.

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