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label_discography_explorer

Group an artist's albums and singles by record label, then rank labels by release count with year ranges.

Instructions

Group an artist's albums and singles by record label (via batched /albums?ids= payloads) and rank labels by release count with year ranges. Quota: 🔴 paginated walk + batched /albums lookups.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
artist_idYesSpotify artist ID, URI, or URL
max_resultsNo
include_groupsNoComma-separated album groups: album,single,appears_on,compilation. Default: album,single
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 present, so the description carries the full burden. It proactively discloses an expensive quota profile ('paginated walk + batched /albums lookups'), which is valuable behavioral information for an agent deciding whether to invoke it. It could go further by stating read-only status or approximate request counts, but the quota warning is a strong disclosure.

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. The core purpose is front-loaded, and the quota/implementation detail is compact but informative. Every word earns its place.

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

Completeness3/5

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

The description conveys the main output concept (labels ranked by release count with year ranges) and warns about quota, which covers basic invocation. However, there is no output schema, and the description does not specify response format variants or provide enough context for an agent to fully anticipate the result shape. Adequate but with clear gaps.

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 75%, and the tool description adds no parameter-specific meaning beyond what the schema already provides. Max_results lacks a description, but the schema constraints compensate; baseline 3 is appropriate.

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 verb ('Group'), a specific resource (an artist's albums and singles), and a specific organizing dimension (record label, release count, year ranges). This clearly distinguishes it from sibling tools like label_explorer, artist_discography_explorer, and saved_albums_by_label.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus alternatives. There is no mention of preferred contexts, exclusions, or trade-offs compared to label_explorer or artist_discography_explorer. The quota note hints at cost but does not help route selection.

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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