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catalog_batch_lookup

Batch resolve up to 50 mixed Spotify URIs (tracks, albums, artists, shows, episodes, audiobooks, chapters) in one lookup. Handles partitioning automatically for efficient retrieval.

Instructions

Resolve a mixed list of Spotify URIs (tracks/albums/artists/shows/episodes/audiobooks/chapters) in partitioned batch calls. Quota: 🟡 1 per distinct type + chunking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urisYesSpotify URIs (spotify:track:..., spotify:album:..., etc.) 1–50 mixed
max_resultsNoMax items to return (default: SPOTIFY_MCP_MAX_ITEMS env or 50)
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?

The description discloses meaningful behavioral traits: calls are partitioned by type and subject to a distinct quota per type with chunking. This is valuable context beyond the schema and annotations, explaining how the tool operates under the hood.

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 concise sentences deliver the essential purpose and quota information without any fluff. The purpose is front-loaded, and the quota detail 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 moderate-complexity batch lookup tool with no annotations and no output schema, the description covers the core behavior and quota implications. It could mention what 'resolve' returns, but the response_format parameter partially covers that expectation.

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?

The input schema already provides 100% coverage, describing uris, max_results, and response_format. The description adds no parameter-specific details, which is acceptable given the schema carries the weight.

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 clearly states the action ('Resolve') and the resource ('a mixed list of Spotify URIs') with explicit type coverage. This distinguishes it from the homogeneous get_several_* sibling tools, which handle single types per call.

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

Usage Guidelines4/5

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

The description implies the primary use case: when the input URIs span multiple Spotify types and batching is needed. It does not explicitly name alternatives like get_several_tracks for single-type lookups, but the 'mixed list' wording provides clear contextual guidance.

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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