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khglynn

io.github.khglynn/spotify-bulk-actions-mcp

import_and_create_playlist

Import a CSV of songs and artists, search each track on Spotify, and create a new playlist with the matched results.

Instructions

Full workflow: Parse song list CSV, search all tracks, create playlist.

This is the main tool for bulk playlist creation from a list of songs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesPlaylist name
csv_contentYesCSV content with columns: title, artist
include_confidenceNo"high", "high_medium", or "all"high
descriptionNoPlaylist description
publicNoWhether playlist is public

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description bears full transparency burden. It outlines the workflow (parse, search, create) but does not disclose potential issues like missing tracks, authentication requirements, or rate limits. The high-level steps are clear but lack detail on side effects or failure modes.

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 sentences with no redundant information. The first sentence efficiently lists the three steps, and the second reinforces the tool's primary use case. Every word earns its place.

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?

Despite lacking annotations, the description covers the main workflow and purpose. An output schema exists to document return values, so that gap is mitigated. However, it could mention input validation or performance implications for a multi-step tool.

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 coverage is 100%, so the description adds limited value beyond the schema. It contextualizes parameters (e.g., `csv_content` is for parsing, `name` for playlist), but does not elaborate on formats or constraints. Baseline score of 3 is appropriate given full schema coverage.

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 clearly specifies the tool's action: 'Parse song list CSV, search all tracks, create playlist.' It distinguishes itself from siblings like `create_playlist` (which only creates an empty playlist) and `parse_song_list_csv` (which only parses). The phrase 'main tool for bulk playlist creation' reinforces its specific role.

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?

The description states this is 'the main tool for bulk playlist creation from a list of songs,' providing clear context for when to use it. However, it does not explicitly mention when to avoid it or list alternatives, though the sibling set implies options for other scenarios (e.g., adding tracks individually).

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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