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track_album_bundle

Retrieve a track's full album context, including album metadata and the remaining track listing, to see exactly what you're listening to.

Instructions

Context card for one track: the track plus its full album metadata and the album's remaining track listing (the "what am I listening to" card). Quota: 🟡 2 API calls (GET /tracks/{id} + GET /albums/{id}/tracks).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
marketNoISO 3166-1 alpha-2 market code (e.g. 'US'); omit for 'from_token' behaviour
track_idYesSpotify track ID
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?

No annotations are present, so the description carries the burden, and it discloses the quota (2 API calls) and exact GET endpoints called, which is valuable operational context beyond the schema. It also clarifies the output scope (track plus album metadata plus remaining track listing). It stops short of explicitly stating 'read-only' or 'no side effects', but the GET endpoints and 'context card' framing imply a safe read.

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 tight sentences that front-load the core purpose and then give quota/endpoint details. No filler or redundant restatement.

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 simple read-bundle tool with all parameters documented in the schema, the description covers what the tool returns, how much it costs, and which APIs back it. A small gap is not explicitly describing response_format behavior, but the schema already covers that; overall the context is complete enough to call correctly.

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 coverage is 100%, so the schema already documents all three parameters; the description repeats no parameter details. It adds no extra semantics about market or response_format beyond what the schema provides, so a baseline 3 is appropriate.

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 deliverable ('context card for one track'), specifies its exact contents (track, full album metadata, album's remaining track listing), and frames it as the 'what am I listening to' card, which clearly separates it from plain get_track/get_album tools. This is a specific verb+resource with enough detail to distinguish the bundle from sibling tools.

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 gives an implicit use context via the quoted 'what am I listening to' card, suggesting when a user wants surrounding album context for a single track. It does not name alternative tools or state exclusion conditions, so usage guidance is implied rather than explicit.

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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