Skip to main content
Glama

playlist_names_bulk_normalize

Normalize messy Spotify playlist names in bulk: strip noise like '(Official Copy)' and duplicate numbers, add a prefix/suffix, or renumber. Preview before committing.

Instructions

One-shot name hygiene across your library: strip "(Official Copy)"-style noise, trailing "2" duplicates, apply a prefix/suffix, or renumber. Preview → commit. Quota: 🟡 GET + N PUTs (N = renamed only).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
opNoNormalize op. Default strip_noise
matchNoOnly rename playlists whose name contains this substring
prefixNoprefix: text to prepend
suffixNosuffix: text to append
dry_runNoPreview only: perform the read side and return a PLAN without changing anything. Default true — pass false to commit.
apply_toNoRename only your own playlists or every followed one. Default owned
response_formatNo'concise' = human prose, 'detailed' = more fields in prose, 'json' = raw API objectconcise
Behavior4/5

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

With no annotations provided, the description carries the behavioral burden and mostly succeeds: "Preview → commit" signals the two-phase safety model, and the quota line reveals that only actually renamed playlists incur PUTs. It does not discuss undoability or effects on collaborators, but the core mutation behavior is disclosed.

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 tight sentences deliver scope, operation types, safety model, and cost implications without filler. The most important qualifier, "One-shot," is front-loaded, and every phrase 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?

For a 7-parameter mutation tool with no output schema or annotations, the description gives enough behavioral context (preview first, quota, commit semantics) and the schema handles parameter details. It is slightly incomplete on what the preview plan looks like or how responses vary, but the dry_run parameter description partially covers that.

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 100%, so baseline is 3, but the description adds real semantics beyond the schema: it clarifies what strip_noise actually does with examples and ties the quota to the dry_run/commit behavior. It does not need to restate match, apply_to, or response_format since those are already well-described in the schema.

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 operation: one-shot playlist name hygiene with concrete transforms like stripping "(Official Copy)" noise, handling trailing "2" duplicates, adding prefix/suffix, or renumbering. This clearly distinguishes it from generic library tools like clean_all_playlists or library_hygiene.

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?

The description implies when to use it — for batch playlist-name cleanup with preview-then-commit — but it names no alternatives or exclusion conditions. With many sibling tools covering playlist hygiene, an agent gets no explicit routing guidance about when to prefer this over similar tools.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/NovaLux12/spotify-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server