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get_top_tracks

Retrieve your most-played Spotify tracks within specified timeframes to analyze listening habits or create personalized playlists.

Instructions

Get your top tracks

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of tracks to return (1-50, default: 10)
time_rangeNoTime range (short_term: 4 weeks, medium_term: 6 months, long_term: all time)medium_term
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states it 'gets' data, implying a read-only operation, but doesn't cover critical aspects like authentication requirements, rate limits, error handling, or what 'top' means (e.g., based on listening history, popularity, or other metrics). This leaves significant gaps for an agent to understand how to invoke it safely and effectively.

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

Conciseness5/5

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

The description is a single, efficient sentence with no wasted words. It's front-loaded with the core purpose ('Get your top tracks'), making it easy to parse quickly. Every word earns its place by conveying essential information without redundancy.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete for a tool that likely involves user-specific data and time-based filtering. It doesn't explain what 'top' means, authentication needs, or the structure of returned data (e.g., track objects with metadata), leaving the agent with insufficient context for reliable use.

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?

The input schema has 100% description coverage, with clear documentation for both parameters (limit and time_range), including defaults and enum values. The description adds no parameter-specific information beyond what the schema provides, so it meets the baseline for high schema coverage without compensating value.

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

Purpose3/5

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

The description 'Get your top tracks' clearly states the verb ('Get') and resource ('your top tracks'), making the basic purpose understandable. However, it doesn't differentiate from sibling tools like 'get_top_artists' or 'get_current_track' beyond the resource name, and 'top tracks' could refer to popularity, personal listening history, or other metrics without clarification.

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 doesn't mention sibling tools like 'get_top_artists' for similar data or 'search_music' for broader queries, nor does it specify prerequisites (e.g., user authentication) or exclusions. Usage is implied only by the tool name.

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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