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b_sides_detector

Identify B-sides: tracks released on an artist's singles but never included on any album, by scanning their Spotify catalogue.

Instructions

Detect B-sides: tracks that appear on an artist's singles but never on any album — the non-LP catalogue. Quota: 🔴 paginated walks + batched /albums lookups.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
artist_idYesSpotify artist ID, URI, or URL
max_resultsNo
max_singlesNoSingles to scan. Default: 50
response_formatNo'concise' = human prose, 'detailed' = more fields in prose, 'json' = raw API objectconcise
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. The 'Quota: 🔴 paginated walks + batched /albums lookups' note usefully discloses that this is an expensive operation and hints at the scan algorithm. However, it never confirms the operation is read-only, describes failure or edge-case behavior, or indicates what the returned data looks like.

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?

The description is two sentences, with the purpose definition front-loaded ahead of the quota warning. Every word earns its place; there is no filler, repetition of schema details, or inflated prose.

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

Completeness2/5

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

For a 4-parameter analytical tool with no output schema and no annotations, the description is too thin. It defines the target concept and warns about quota but omits output expectations, result interpretation, read-only confirmation, and edge cases like an artist with no singles, leaving an agent under-informed about what to expect when calling it.

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

Parameters2/5

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 explanations of its own. The undocumented max_results parameter is never explained anywhere, and the description only implicitly maps the album/singles language onto max_singles. It fails to clarify effective ranges or interactions between parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with the specific verb 'Detect' and precisely defines the resource: B-sides as tracks on an artist's singles that never appear on any album, i.e., the non-LP catalogue. It clearly states what the tool computes, but it does not differentiate itself from the nearly identically-named sibling b_sides_finder, which sits adjacent in the toolset.

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?

No when-to-use guidance is provided. The description does not name alternatives like b_sides_finder or get_artist_singles, nor does it state conditions, exclusions, or preferred invocation contexts. The quota warning implies cost awareness but does not help an agent decide between this tool and its siblings.

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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