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miziodel

navigravity

by miziodel

analyze_library

Perform cold, canonical, and warm analyses of your music library to understand genre composition, key artists, and listening patterns.

Instructions

Analyzes the library inventory and user stats.

Args: mode: The type of analysis to perform. - 'composition': Returns genre distribution and total stats (Cold Analysis). - 'pillars': Identifies core artists (Album Count) (Canonical Analysis). - 'taste_profile': Analyzes recent/frequent/starred for top artists & eras (Warm Analysis).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNocomposition

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries full burden. It transparently describes the outputs for each mode (e.g., genre distribution, core artists, taste profile). However, it does not mention any side effects, permissions, or limitations, though the tool appears read-only.

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 concise, with only two short paragraphs. It front-loads the purpose and then clearly lists the parameter and its options. No extraneous content.

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

Completeness5/5

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

Given the tool has an output schema, the description does not need to detail return values. It adequately covers the input parameter and the three modes. The context signals indicate low complexity, and the description is complete for proper invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema provides no descriptions for the 'mode' parameter (0% coverage). The description adds full semantics by enumerating the three allowed values and explaining what each returns, which is essential for the agent to use the parameter correctly.

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 the tool's purpose: 'Analyzes the library inventory and user stats.' It lists specific analysis modes (composition, pillars, taste_profile), distinguishing it from sibling tools that focus on playlists, genres, or search.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

The description explains the different modes of analysis but does not explicitly state when to use this tool versus alternatives like assess_playlist_quality or explore_genre. Usage context is implied by the library analysis focus, but no exclusions or guidance are provided.

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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