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Yandex Music MCP

like_tracks

Marks one or more Yandex Music tracks as liked using their track IDs, adding them to your liked tracks for later listening.

Instructions

Ставит лайк («Мне нравится») трекам.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
track_idsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already declare this is a mutation (readOnlyHint=false) that is non-destructive and open-world. The description adds nothing beyond that — no mention of whether the call is idempotent, whether IDs that are already liked cause errors, batch-size limits, or rate limiting. With annotations covering the safety profile, the description still has an empty behavioral slot it could have filled.

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?

A single short sentence with no filler and the action front-loaded. It is efficient, though its brevity is partly under-specification rather than disciplined conciseness.

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?

An output schema exists, so return values need not be explained, but for a batch mutation tool with a fully undocumented parameter and zero usage context, the definition is too thin. An agent cannot determine batching behavior, error semantics, or how it pairs with unlike_tracks.

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?

Schema description coverage is 0% and the single parameter track_ids is completely undocumented. The plural 'трекам' weakly implies multiple IDs are accepted, but the description gives no format, count limits, or behavior for invalid/already-liked IDs, so it does not compensate for the coverage gap.

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 verb and resource ('likes tracks'), which is unambiguous on its own. However, it makes no attempt to differentiate itself from the sibling unlike_tracks or explain its relationship to get_liked_tracks, so it stops short of a 5.

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 guidance on when to use this tool versus unlike_tracks, no note about prerequisites (e.g. being authenticated), and no mention of how it relates to get_liked_tracks. The agent must infer everything from the tool name.

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