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vakandi
by vakandi

List Liked Songs

list_liked_songs

Read liked songs from Spotify, including free accounts, with optional filtering by title, artist, or album across your entire library and pagination support.

Instructions

Read the Liked Songs playlist (free accounts included).

Input Schema

NameRequiredDescriptionDefault
limitNohow many tracks to return (1-100).
queryNooptional filter on title / artist / album. When set, the whole library is scanned (not only the current page).
offsetNopagination offset (0 = most recently liked first).

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.1

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It implies a read operation and notes free-account support, but does not mention authentication/session requirements, pagination behavior, ordering, or what the output represents.

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 description is a single front-loaded sentence with no wasted text. It is almost too terse for a tool with multiple optional filters, but it is structurally efficient.

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?

The output schema and fully documented parameters reduce what the description must explain. However, it still lacks sibling differentiation and usage context, leaving the agent to infer when list_liked_songs is preferred over search_liked_songs.

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 description coverage is 100%, so the input schema already documents limit, query, and offset thoroughly. The description adds no parameter semantics of its own, which is acceptable under the high-coverage baseline.

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?

The description states a specific resource, the Liked Songs playlist, and clarifies that free accounts are supported. It is clear what is read, but it does not differentiate this from the sibling search_liked_songs or explain scope beyond the playlist name.

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 explicit guidance on when to use this tool versus search_liked_songs, play_liked_song, or now_playing. The free-account note is an eligibility detail, not a usage condition or exclusion.

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