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playlist_overlap_matrix

Compare 2–10 playlists using Jaccard overlap to identify pairs that have drifted into the same musical set.

Instructions

Pairwise Jaccard overlap for 2–10 playlists — which of your mixes have drifted into the same set. Quota: 🟢 N GETs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNoPreview only: validate inputs and describe exactly what would change without performing it
max_resultsNoMax items to return (default: SPOTIFY_MCP_MAX_ITEMS env or 50)
min_overlapNoJaccard threshold to report a pair. Default 0.5
playlist_idsYesPlaylists to compare (2–10)
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 provided, the description carries the disclosure burden and does disclose one meaningful behavioral trait: 'Quota: 🟢 N GETs,' which tells the agent this is a read-only operation with a measurable quota cost. However, it does not describe result shape, error behavior, or interaction between dry_run and quota, so the behavioral disclosure is partial rather than rich.

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 wasted words: the core function is front-loaded, followed by a single high-value quota clause. Every element earns its place, and the user-facing gloss adds context without bloating the definition.

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?

For a 5-parameter tool with no output schema and no annotations, the description adequately covers purpose, input range, and read-only quota cost, but it leaves gaps: the returned matrix format is unspecified, the min_overlap default behavior is only in the schema, and pairwise result presentation is not described. It is a workable definition but missing enough context to fully guide correct invocation.

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 five parameters, setting the baseline at 3. The description adds marginal reinforcement—'2–10 playlists' maps to playlist_ids constraints and 'Jaccard' maps to min_overlap—but it does not add new meaning beyond what the schema provides.

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 states a specific operation—'Pairwise Jaccard overlap for 2–10 playlists'—with a clear resource scope and a user-facing framing ('which of your mixes have drifted into the same set'). It distinguishes from simpler siblings like playlist_intersect or overlap_playlists by naming the pairwise Jaccard metric, though it never explicitly names an alternative tool.

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?

There is no explicit guidance on when to use this tool versus the many overlapping siblings (playlist_intersect, overlap_playlists, playlist_intersection, find_duplicate_tracks_across_playlists, playlist_pair_check). The phrase 'which of your mixes have drifted into the same set' implies a use case but provides no when-to-use or when-not-to-use conditions, and no alternatives are named.

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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