Get recommendations
get_recommended_tracksRecommends personalized tracks based on your listening history and preferences.
Instructions
Get personalized track recommendations
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
get_recommended_tracksRecommends personalized tracks based on your listening history and preferences.
Get personalized track recommendations
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide readOnlyHint and openWorldHint, so the description adds no behavioral context beyond stating 'personalized'. With annotations present, the description should complement them, but it does not disclose any traits like data freshness or scope.
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 very short (one sentence) and thus concise, but it lacks substance. It could be expanded to include more useful information without being verbose.
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?
Despite having annotations and a simple schema, the description fails to provide context on what 'recommendations' entails, how they are generated, or what the output looks like. The open-world hint implies dynamic results, but no details are given.
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%, and the description does not mention the 'limit' parameter at all. The agent gets no help understanding the parameter's purpose or usage.
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 it provides personalized track recommendations, clearly indicating the verb and resource. However, it does not distinguish from sibling tools like 'get_related_tracks' or 'search_tracks', which could be confused.
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 on when to use this tool versus alternatives. The description lacks any mention of context, prerequisites, or when not to use it.
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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