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iTunes Search API — Music, Podcasts, Audiobooks & More

itunes_search
Read-only

Search iTunes & Apple Music for songs, podcasts, audiobooks and more. Search iTunes & Apple Music for songs, podcasts, audiobooks and more. Get clean JSON data without an account or bot blocks.

Input Schema

NameRequiredDescriptionDefault
inputNoInput for iTunes Search API — Music, Podcasts, Audiobooks & More. See https://apify.com/noniner/itunes-search.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / input / description
      Previous value: -"Input for iTunes & Apple Music Search — Songs, Podcasts & More. See https://apify.com/noniner/itunes-search."New value: +"Input for iTunes Search API — Music, Podcasts, Audiobooks & More. See https://apify.com/noniner/itunes-search."
  2. Added

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds one genuinely useful operational fact — no account required and no bot blocking — but says nothing about rate limits, result caps, or response shape.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence is duplicated verbatim, which is pure waste in a three-sentence description. The substantive points (what it searches, no auth needed) are present but buried under repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool whose only parameter is an unstructured passthrough object and with no output schema, the description should explain what to put in and what comes back. It offers neither, forcing the agent to fetch external documentation before calling it correctly.

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

Parameters2/5

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

The schema nominally has 100% coverage but the single 'input' parameter is an opaque nested object whose only description is a documentation URL — it defines no properties. The tool description does not compensate at all: it never explains what goes into the input (query string, media type, country storefront, result limit), leaving the agent to guess.

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?

States a concrete verb and resource ('Search iTunes & Apple Music for songs, podcasts, audiobooks and more'), so an agent knows exactly what it retrieves. It lacks any differentiation from sibling tools, though the sibling list is topically distinct enough that this matters less.

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?

No guidance on when to use this versus alternatives, no prerequisites, no exclusions. The only usage-adjacent statement is 'no account or bot blocks', which is an access note rather than a selection rule.

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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