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llyfn

mcp-server-spotify

create_playlist

Organize your music by creating a new Spotify playlist with a name, description, and public setting.

Instructions

Create a new playlist for the current user.

    Args:
        name: Name for the new playlist.
        description: Description for the playlist.
        public: Whether the playlist should be public (default True).
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
descriptionNo
publicNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description should disclose behavioral traits. It only lists parameters and confirms creation, but does not reveal any side effects, failure modes, or permissions required. The presence of an output schema reduces the need to explain return values, but other behavioral aspects are missing.

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

Conciseness4/5

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

The description is concise with a clear opening sentence followed by parameter listing. The 'Args' section is slightly redundant given the input schema, but it does not waste words. Front-loading is adequate.

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 the presence of an output schema, the description does not need to explain return values. It covers the essential purpose and parameter roles. However, it lacks context about preconditions (e.g., user must be authenticated) or consequences (e.g., playlist appears in library). Overall, it is minimally complete for a simple creation action.

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 0%, so the description must compensate. It provides brief explanations for each parameter (e.g., 'name: Name for the new playlist'), adding minimum meaning beyond the schema. However, it lacks details on constraints like max length or allowed characters.

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 clearly states 'Create a new playlist for the current user.' This is a specific verb+resource combination that distinguishes it from siblings like 'add_playlist_items' or 'update_playlist'.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention preconditions, exclusions, or scenarios where a different tool would be preferred.

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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