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Artyfile Music Licensing

get_track

Full details for one track by productId or slug: metadata, prices, licence scope, preview URL, human product page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesproductId (from search_tracks) or the track slug

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the burden. It states the tool returns full details but does not mention error handling, whether the operation is read-only, or any rate limits. The listed fields give some transparency but not deeper behavioral context.

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 a single sentence with a colon-separated list, front-loading the purpose ('Full details for one track') and using no redundant words.

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 single-parameter get tool, the description adequately covers purpose, identifier options, and returned content categories. The lack of an output schema is partially mitigated by the explicit list of detail types, though error scenarios are not addressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema covers the single parameter with description 'productId (from search_tracks) or the track slug', which already adds rich context. The main description reinforces this by mentioning both identifiers, exceeding baseline schema coverage.

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?

Clearly states the tool retrieves 'Full details for one track' using either productId or slug, and enumerates the detail categories (metadata, prices, licence scope, preview URL, human product page), distinguishing it from sibling tools like search_tracks (list) and get_license_terms (license-specific).

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?

Implies a workflow where the productId comes from search_tracks, and lists the type of details, providing contextual guidance. However, it does not explicitly state when to prefer this over alternatives (e.g., use get_license_terms for license-only info).

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: search, track details, license terms, checkout creation, order status polling, and download retrieval. There is no overlap; even the order-related tools serve different phases of the workflow.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (create_checkout, get_download_link, get_license_terms, get_order_status, get_track, search_tracks). The naming is uniform and predictable, with no mixed conventions.

Tool Count5/5

With 6 tools, the set is well-scoped for a music licensing workflow. Each tool covers an essential step from discovery to fulfillment, without unnecessary bloat or redundancy.

Completeness5/5

The tools cover the full purchase lifecycle: searching and inspecting tracks, understanding license terms, creating a checkout, polling payment status, and retrieving downloads and documents. There are no obvious gaps that would prevent an agent from completing a licensing transaction.

Resources