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taste_genre_bridge

Explores music taste by generating playlist picks that transition from a start genre to a target genre, with evidence and risk for each track.

Instructions

Genre-bridge playlist spec: picks spanning two genres with evidence + risk per pick. Read-only, no auth.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
to_genreNoTarget genre (substring). Default: most novel adjacent genre
from_genreNoStart genre (substring). Default: lifetime #1
max_resultsNoMax items to return (default: SPOTIFY_MCP_MAX_ITEMS env or 50)
track_countNoPicks to list. Default: 8
statsfm_userYesstats.fm user ID (or username) — public profile, no auth needed
response_formatNo'concise' = human prose, 'detailed' = more fields in prose, 'json' = raw API objectconcise

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.30.0

TDQS

A4/5.0
Behavior4/5

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

Annotations are absent, so the description carries the safety burden, and it discharges it by stating 'Read-only, no auth' — no side effects, no credentials needed — and by hinting at the output shape with 'evidence + risk per pick.' It does not discuss rate limits or data sources, but for a read-only spec tool these are minor omissions.

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?

Two short sentences, front-loaded with the purpose, then the distinguishing output, then the safety/auth facts. Every clause earns its place with no redundancy.

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

Completeness4/5

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

With 100% schema coverage and no output schema, the description only needs to cover safety and return shape, which it does via 'Read-only, no auth' and 'evidence + risk per pick.' The only slight gap is that 'spec' is not expanded, though 'Read-only' resolves the main ambiguity of whether it creates a playlist.

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?

All six parameters are already documented in the schema (100% coverage), so the baseline is 3. The description's 'spanning two genres' adds minor relational meaning by clarifying that from_genre and to_genre are the two endpoints of a bridge, but it does not add format or semantics beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('picks') and resource (tracks spanning two genres), and the 'genre-bridge ... spanning two genres' scope clearly distinguishes it from sibling taste playlist tools like taste_era_playlist, taste_forgotten_bangers, and taste_to_playlist, none of which bridge two genres. It also names distinct output elements — evidence + risk per pick — which further signals what the tool does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: an agent can infer to use this when a two-genre bridge playlist is desired, but the description gives no explicit when/when-not guidance and names no alternatives. Given the large sibling family of taste_* playlist tools, explicit routing would materially help, so it stops at 3.

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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