Audit Spotify Audio Analysis

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive, so the description's confirmation of 'without changing Spotify' adds little there. However, it goes beyond annotations by cautioning not to 'treat heuristic measurements as musical quality scores,' which is valuable behavioral context about how to interpret the tool's output.

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 a single, front-loaded sentence that uses a strong verb and immediately states the tool's scope and constraints. Every phrase earns its place, with no filler or redundancy.

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?

Given the presence of an output schema and rich annotations, the basic functionality (audit without modifying) is adequately conveyed. However, the description does not explain how 'overrides' factor into the audit, what 'conflicts' means in practice, or how source selection affects results. This leaves a moderate gap in understanding for a tool with 3 parameters, though the output schema likely resolves return-value questions.

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%, so the description needed to compensate, but it only indirectly references track_ids via 'exact Spotify track IDs.' It says nothing about the 'source' parameter or the 'overrides' array, which are non-obvious for an audit tool. An agent would have to rely on parameter names alone, and 'overrides' especially is ambiguous.

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 verb 'Audit' clearly indicates a verification/analysis action, and the resource is explicitly 'audio-analysis coverage and conflicts for exact Spotify track IDs.' This distinguishes it from sibling tools like spotify_audio_features (which fetches features) and spotify_audio_compare (which compares tracks), and the qualifier 'without changing Spotify' reinforces its read-only nature.

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 clearly implies this tool is for auditing coverage (which tracks have analysis data) and conflicts (discrepancies against overrides), but it does not explicitly name alternatives or state when not to use it. The context is clear enough for an agent to infer the primary use case, even though no explicit exclusions are given.

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