get_user_mixes

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

With no annotations provided, the description carries the behavioral burden. It discloses the read-only 'Fetches' nature, the return shape (dictionary with mixes and mix_count), and the fields present in each mix (id, title, sub_title, track_count). It does not mention authentication, errors, or rate limits, but for a simple zero-parameter fetch this is acceptable.

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?

Every sentence earns its place. The description fronts the core purpose, then provides routing phrases, return-field details, a pointer to the sibling tool for follow-up action, and a concise return description. There is no fluff or repetition.

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?

For a zero-parameter fetch tool with no output schema, the description is complete: it explains what the tool returns, what each mix contains, and how to proceed with get_mix_tracks(). An agent has enough context to select and invoke the tool correctly. Auth requirements are implicitly covered by 'user's TIDAL' and the existence of tidal_login.

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?

The tool has zero parameters, so the schema is trivially complete. Under the rubric, zero parameters earns a baseline of 4. The description correctly adds no unnecessary parameter information, and the absence of parameters is fully consistent with the tool's structure.

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 uses a specific verb and resource ('Fetches the user's TIDAL algorithmic mixes') and gives concrete examples like 'My Daily Discovery' and 'New Arrivals.' It distinguishes itself from the sibling get_mix_tracks by explicitly directing the agent to that tool for retrieving tracks, making its purpose clear versus related tools.

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 explicit trigger phrases under 'USE THIS TOOL WHENEVER A USER ASKS FOR' and tells the agent to use get_mix_tracks() for tracks. It does not explicitly state when not to use this tool versus get_user_playlists or other list tools, but the focus on 'algorithmic mixes' gives clear contextual guidance.

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