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artist_album_completeness

Check your saved-album library against an artist's canonical studio discography to find missing albums. Compares edition-insensitively and returns a missing list so you can fill gaps.

Instructions

Checks how complete your saved-album library is for one artist: canonical studio-album titles from the discography walk matched (edition-insensitively) against your /me/albums walk, with a missing list. Quota: 2 paginated walks (artist albums + saved albums).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
artist_idYesSpotify ID, URI (spotify:...), or open.spotify.com URL — all resolve to the same entity
saved_capNoMax saved albums scanned. Default: SPOTIFY_MCP_FETCH_ALL_CAP
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?

With no annotations provided, the description carries the full behavioral burden. It discloses quota behavior ('2 paginated walks'), the endpoints touched ('artist albums + saved albums'), matching semantics ('edition-insensitively'), and the presence of a 'missing list'. It does not explicitly state that the operation is read-only, but the 'Checks' framing makes that reasonably clear.

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 compact sentences with no filler. The core purpose and algorithm are front-loaded, followed by an operational quota warning. Every phrase earns its place, and the terminology is dense but precise.

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 read-only analysis tool with one required parameter and clear schema coverage, the description is nearly complete: it explains what is compared, how matching works, the quota cost, and the kind of output. It does not describe the exact return structure, but no output schema exists and the description's 'missing list' is a reasonable summary for call correctness.

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 the schema already documents all three parameters. The description adds contextual detail relevant to saved_cap through '2 paginated walks' and to the overall matching semantics, but it does not enrich individual parameter meanings beyond the schema. Baseline 3 is appropriate when the schema carries the parameter documentation burden.

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?

The description names a specific verb ('Checks'), a concrete resource ('saved-album library for one artist'), and the exact matching strategy (canonical studio-album titles matched edition-insensitively against saved albums). It also states the output ('missing list'), so an agent can tell what this tool computes without looking at the schema.

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 description implies usage context: you call this when you need per-artist completeness of saved albums. However, it does not name any sibling alternatives such as artist_complete_check, artist_completeness_score, or artist_collection_gaps, nor does it state when NOT to use it. The one-artist scope is clear, but routing relative to near-neighbor tools is left to inference.

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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