spotify_find_playlist_subsets

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

No annotations are provided, so the description carries the full burden. It clearly states it scans all playlists and uses a threshold, but does not explicitly state that it is read-only or describe performance implications. The behavior is reasonably transparent.

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?

Two concise sentences that front-load the core purpose and immediately explain the key parameter. Every sentence adds value with no repetition or filler.

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 tool complexity (2 parameters, output schema present), the description covers the core goal and one parameter. Missing the 'owner_only' parameter explanation slightly reduces completeness, but the output schema likely documents return structure.

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 must compensate. It explains the 'threshold' parameter as 'the percentage of the smaller playlist's tracks that must exist in the larger', but does not explain the 'owner_only' parameter, which is not self-explanatory from its name alone.

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 specific verb+resource ('Scan all your playlists and find ones where one playlist is a near-subset of another'), clearly distinguishing it from sibling tools like spotify_find_playlist_overlaps and spotify_playlist_compare.

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 implies usage for finding subset relationships with a threshold, but does not explicitly state when to use this tool versus alternatives like spotify_find_playlist_overlaps. The context of sibling tools suggests a clear niche.

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