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artist_discography_timeline

Get an artist's discography as a chronological timeline with year, type, album, and track count. Sort newest first or apply a since_year filter to focus on recent releases.

Instructions

[local-compute] Chronological release table (year · type · name · tracks) built from a paginated /artists/{id}/albums walk. Sorted newest first; since_year trims older rows client-side. Quota: 🟡 one paginated walk (typically several API calls on the rate-limited queue).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
artist_idYesSpotify artist ID
since_yearNoOnly releases from this year onward
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
Behavior5/5

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

With no annotations provided, the description carries the full disclosure burden and does so thoroughly: it discloses [local-compute] behavior, the paginated endpoint walk behind the scenes, newest-first ordering, client-side trimming for since_year, and a concrete quota/cost estimate. These go well beyond what the name or schema reveal and give the agent accurate expectations about performance and side effects.

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?

Three dense sentences with zero filler: the first establishes purpose and source, the second covers ordering and filtering behavior, the third discloses cost. Key facts are front-loaded before the quota caveat, and every clause earns its place.

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 5-parameter read tool with no output schema and no annotations, the description covers the essential invocation context: endpoint, output columns, sort order, filter behavior, and quota impact. Combined with the schema's 80% coverage, an agent can select and call it correctly. The only gap is max_results semantics, which is minor since the parameter is optional and self-evident.

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 80%, so the baseline is 3. The description adds genuinely useful nuance — since_year filters client-side, and the table columns hint at output shape — which exceeds the schema's bare 'Only releases from this year onward'. However, max_results has no description in the schema and is not explained in the description either, leaving one parameter underdocumented.

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 names a specific deliverable — a chronological release table with defined columns (year, type, name, tracks) — and states the source endpoint (/artists/{id}/albums walk). The verb and resource are clear enough that an agent knows what it produces. However, it does not differentiate itself from closely related siblings like artist_album_timeline, artist_discography_explorer, or artist_singles_timeline, so the agent must infer the distinction.

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?

Usage context is implied through the purpose (want a year-sorted release table for an artist) and the quota signal ('one paginated walk... on the rate-limited queue'), which hints that this tool is costlier than a single-call op. However, there is no explicit when-to-use vs. when-not-to-use guidance and no mention of alternatives among the many discography-themed 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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