saved_tracks_roulette

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

No annotations are provided, so the description carries the behavioral burden. The quota line (' getAllPages + 1 create + chunked adds') is a genuine operational disclosure — it reveals a compound read-then-write flow with pagination, exactly one playist creation, and batched adds. However, it doesn't disclose that repeated calls accumulate new playists in the libary, doesn't state permissions, and the mutation nature is only implied via metaphor and '1 create'.

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 sentences with zero filler — the core action is front-loaded and the quota disclosure occupies a deliberately separate second sentence. The emoji conveys quota severity compactly. Every word earns its place.

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?

With no output schema, the description doesn't explain the return shape, but the schema's dry_run ('Preview only ... return a PLAN without changing anything') and response_format ('concise/detaied/json') parameters carry much of that burden. What's missing from the tool description itself is the commit workflow (dry_run defaults true, pass false to commit) and side-effect acknowledgement — an agent can piece it together from the schema, but not from the description alone.

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 coverage is 100%, with every parameter (count, dedupe, dry_run, public, response_format, from, name) documented inline, so the baseline 3 applies. The description's 'N random cards' maps to `count` but adds no syntax or formatting detail beyond the schema. No compensation needed.

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 a specific action — dealing N random tracks from saved tracks into a brand-new playlist — and the 'rediscovery sampler' framing makes the intent obvious. It distinguishes itself from the many library/playlist siblings by emphasizing random sampling into a FRESH playlist, though it doesn't name a sibling explicitly. The 'cards' metaphor is slightly loose given the `from` enum also allows albums/episodes, but the default tracks behavior is correctly front-loaded.

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 'instant rediscovery sampler' phrase implies the use case — surfacing forgotten saved tracks — but there are no explicit when-to-use/when-not-to-use instructions and no named alternatives. Given the large sibling set (surprise_me, playlist_seed_shuffle, library_to_playlist, sample_playlist_tracks), the agent must infer when this tool fits. The context is implied, not stated.

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