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mcp-apple-music

mcp-apple-music

by Cifero74

favorite_song

Marks a catalog song as a favorite in Apple Music using its song ID, so you can star tracks you want to keep.

Instructions

Mark a catalog song as favorite (the star in Apple Music).

Args: song_id: Catalog song ID (use search_catalog to find it).

Input Schema

NameRequiredDescriptionDefault
song_idYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.3.0

TDQS

A3.6/5.0
Behavior2/5

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

No annotations at all, so the description carries the full behavioral burden, and it discloses almost nothing about the write: no statement of idempotency (does re-favoriting error or no-op?), no mention that unfavorite_song is the reversible inverse, and no auth or failure-mode context. For a mutation tool with zero annotation coverage this is a meaningful gap.

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?

One front-loaded sentence states the effect, and the Args block is limited to the single parameter that matters with its provenance. No filler, no restatement of the tool name.

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?

With an output schema present, return values need not be explained, and the lone parameter is sourced. What remains missing for a write tool with no annotations is any note on reversibility (unfavorite_song) or error/duplicate behavior, leaving the agent adequate but not fully prepared.

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?

Schema coverage is 0% — song_id has no description in the input schema — so the description must compensate, and it does: it labels the value a *catalog* song ID (distinct from a library song ID) and points at search_catalog as the source. It leaves out the expected format/example, keeping it just under full marks.

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 specific verb and resource ("Mark a catalog song as favorite") and adds a concrete analogy ("the star in Apple Music") that removes ambiguity about effect. It does not, however, name its obvious inverse sibling unfavorite_song or otherwise differentiate itself from that pair.

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?

Gives actionable pre-call guidance by naming search_catalog as the way to obtain the required song_id, which closes the loop on the only prerequisite the tool has. There is no explicit when-not guidance (e.g. for library vs catalog songs, or vs unfavorite_song), so it stops short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.