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album_factory

Create a complete, mastered album from a single theme: generates track lists, Suno tracks, metadata, and saves it to Plex.

Instructions

Generate a complete album from a theme.

This workflow:

  1. Creates track list with variations on theme

  2. Generates all tracks via Suno

  3. Masters each track

  4. Creates album metadata

  5. Saves to Plex library

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
num_tracksNoNumber of tracks (5-20)
album_themeYesOverall album concept
album_titleNoOptional album title (auto-generated if empty)
save_to_plexNoWhether to add to Plex library

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does substantial work: it discloses a five-stage batch pipeline, an external dependency (Suno generation), a mastering step, and a side effect on an external system (saving to Plex). It does not disclose runtime, cost, failure/partial-completion behavior, or idempotency, which are important for a long-running multi-service workflow.

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?

Front-loads the one-line purpose and then uses a compact five-step list where each step carries distinct information (tracklist, generation, mastering, metadata, save). Slightly list-heavy but no sentence is wasted.

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?

An output schema exists, so return values need not be described, and all four parameters are documented in the schema. The pipeline disclosure makes the tool's contract understandable; only operational caveats for a fragile multi-stage, external-API workflow are missing.

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 every parameter (num_tracks 5-20, album_theme, album_title, save_to_plex) is already documented in the schema. The description adds no parameter-level semantics such as the interaction between save_to_plex=false and downstream steps, so the baseline of 3 applies.

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?

States a specific verb+resource ('Generate a complete album from a theme') and scopes it to whole-album output, which clearly separates it from track-level siblings like ai_produce_track and ai_orchestrate_production. The numbered pipeline reinforces exactly what artifact is produced.

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 by the pipeline steps (you invoke this when you want a full album pipeline rather than a single track), but there is no explicit when-to-use vs alternatives guidance and no prerequisites, cost warnings, or exclusions to steer an agent away from overlapping siblings.

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