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genre_dive_search

Search artists by genre keyword and get matching profiles with their genre tags. Explore an entire music genre with a single search call.

Instructions

Search artists by genre keyword (e.g. "britpop", "afrobeat") and list the matching profiles with their genre tags — the entry point for a genre dive. Quota: 🟢 one GET /search call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
genreYesGenre keyword to search for
limitNoResults per page, 1–10 (Feb-2026 /search cap). Default: 10
marketNoISO 3166-1 alpha-2 market code (e.g. 'US'); omit for 'from_token' behaviour
response_formatNo'concise' = human prose, 'detailed' = more fields in prose, 'json' = raw API objectconcise
Behavior4/5

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

No annotations are provided so the description must carry the burden, and it does: it discloses the HTTP method and endpoint (one GET /search call), quota cost, and the shape of what is returned (profiles with genre tags) — all beyond the schema. It does not cover empty-result behavior, error conditions, or explicit read-only language, but the GET method implies safety and the disclosed details are meaningful.

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?

Two sentences with no filler: purpose and concrete examples come first, followed by the quota/endpoint note. Every clause earns its place and the most decision-relevant behavioral detail is stated compactly rather than buried in prose.

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

Completeness4/5

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

For a 4-parameter tool with full schema coverage, the description adds purpose, output shape, and quota transparency — sufficient for an agent to invoke it correctly. The main omission is explicit differentiation among the many sibling genre/search tools, and with no output schema the return structure is only sketched, though response_format covers the main variants.

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

Parameters3/5

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

Schema description coverage is 100%, so genre, limit (with its 1–10 cap and default), market (including the from_token behavior), and response_format (with enum meanings) are all already documented in the schema. The description adds only the illustrative genre examples, which is marginal value; the baseline of 3 applies.

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?

States a specific action — 'Search artists by genre keyword' — with concrete examples (britpop, afrobeat) and the expected output (matching profiles with their genre tags). The genre-keyword angle distinguishes it from name-based search_artists and broader search_advanced tools, so an agent can identify it for genre-oriented discovery.

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 phrase 'the entry point for a genre dive' implies a genre-exploration scenario, which gives some situational context. However, no alternatives are named and no when-not-to-use conditions are given, and with a huge sibling set including search_artists, search_advanced, filter_by_genre, and top_genre_census, the agent receives no explicit routing signal to separate this tool from those.

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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