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mcp-apple-music

mcp-apple-music

by Cifero74

get_song_favorite_status

Check which Apple Music catalog songs are marked as favorites by passing comma-separated song IDs, so you can identify saved tracks quickly.

Instructions

Check which catalog songs are marked as favorite.

Args: song_ids: Comma-separated catalog song IDs (e.g. "1276760751,123").

Input Schema

NameRequiredDescriptionDefault
song_idsYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.3.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations exist, so the description carries the full disclosure burden. The word "Check" implies a read, but nothing is said about batch size limits, behavior for unknown or non-catalog song IDs, or whether favorites are scoped to the authenticated user. These are material gaps for a lookup tool with zero annotation coverage.

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

Conciseness4/5

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

The purpose is front-loaded in one sentence, followed by only the parameter format detail that the schema omits. The Python-docstring "Args:" framing is slightly verbose but nothing is redundant.

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?

An output schema exists, so return values need not be explained, and the single-parameter surface is largely covered. Still, an agent cannot tell from this definition how large a batch is safe to send or how unknown IDs are reported, which matters for a batched lookup.

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% — the property is just a bare string titled "Song Ids" — so the description must compensate, and it does: it specifies comma-separated encoding and gives a concrete example ("1276760751,123"). It stops short of stating whether catalog IDs are numeric-only or whether there is a maximum batch size.

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 ("Check which catalog songs are marked as favorite") and implies batch scope via the plural song_ids. It is clearly distinguishable from the mutation siblings favorite_song/unfavorite_song by virtue of being a read, but it never names or contrasts with them explicitly.

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?

There is no statement of when to use this versus get_library_songs or search_catalog, and no prerequisites are given. The only usage signal is implicit in the Args block, which shows the batching contract but not the decision criteria.

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