Surprise: sonically related tracks with wider variety / less obvious picks. Requires a Pro or Studio plan.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds meaningful context beyond annotations: it specifies the output type (sonically related tracks) and the bias toward variety and less obvious picks. The plan requirement is noted. Annotations (readOnlyHint, openWorldHint, destructiveHint) are consistent and not contradicted. It could further describe randomness or deterministic behavior, but overall good.
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 extremely concise with two sentences: the first clearly states the tool's function, and the second communicates a critical usage requirement. Every sentence is valuable and front-loaded.
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?
Despite having an output schema, the description lacks parameter documentation and usage guidance. For a single-parameter tool, the omission of 'url' semantics makes it incomplete. The complexity is low, so the description should fully cover inputs and behavior.
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. However, it does not describe what the 'url' parameter means (e.g., track or playlist URL). Without any clarification, an AI agent cannot infer how to populate this required field.
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 'surprise: sonically related tracks with wider variety / less obvious picks,' which clearly indicates the tool's purpose of providing related but less obvious track recommendations. It distinguishes from sibling tools like 'find_similar' or 'deep_match' by emphasizing variety and unexpectedness, though it does not explicitly name alternatives.
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 mentions 'Requires a Pro or Studio plan,' which is a prerequisite, but provides no guidance on when to use this tool versus its siblings (e.g., when you want obvious picks instead). There is no explicit when-to-use or when-not-to-use context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have distinct purposes: deep_match for technical DJ matching, find_similar for general sonic similarity, generate_playlist for creating full sets, inspire_me for personalized discovery, playlist_match for multi-track centroid matching, and surprise_me for broad discovery. However, inspire_me and surprise_me both relate to discovery with overlap in scope, causing minor ambiguity.
Tool names use a mix of verbs and descriptive phrases (deep_match, find_similar, generate_playlist, inspire_me, playlist_match, surprise_me). The pattern is not fully consistent; some use verb_noun (generate_playlist) while others use verb_adjective (find_similar) or are more abstract (inspire_me). Not chaotic but lacks a uniform structure.
6 tools is well-scoped for a music discovery server. Each tool covers a specific function without redundancy, covering technical matching, similarity search, playlist generation, personalized discovery, group matching, and broad exploration. The number feels balanced and appropriate.
The tools cover core music discovery workflows: single-track matching, multi-track centroid matching, playlist generation with energy flow, and personalized/random discovery. Minor gaps include lack of explicit CRUD for user playlists beyond generation and no tools for browsing or managing user history directly.
