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aaddyy_album_cover_generator

Create custom AI album covers by choosing genre, mood, art style, color palette, and title text, plus reference images, to design artwork for albums, singles, or EPs.

Instructions

Create unique, high-quality album covers using AI with extensive customization options for genre, mood, style, and reference images (~10 credits)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
moodNo
genreNo
promptYes
art_styleNo
album_typeNo
num_imagesNo
text_styleNo
album_titleNo
artist_nameNo
aspect_ratioNo
color_paletteNo
output_formatNo
reference_imagesNo
include_text_overlayNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.2

TDQS

C2.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses the cost (~10 credits), which is real behavioral context an agent cannot get elsewhere, but it says nothing about generation latency, whether output is a URL or file, or how reference_images are consumed.

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 front-loaded sentence with no wasted words, and the cost is placed at the end where it is easy to scan. Brevity here edges toward under-specification rather than bloat.

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?

With 14 parameters, 7 enums, zero schema descriptions, no annotations, and no output schema, the description is far too thin. It neither explains parameter formats nor return behavior, so an agent must guess at much of the invocation surface.

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% across 14 parameters, so the description must compensate and largely does not. It names genre, mood, style, and reference images, but leaves prompt, num_images, aspect_ratio, output_format, include_text_overlay, album_title, and artist_name entirely unexplained.

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?

States a specific verb+resource ('Create ... album covers using AI'), which is clearly distinct from generic siblings like aaddyy_image_generator or aaddyy_logo_creator. However, it does not explicitly contrast itself with those siblings, so an agent must infer the boundary.

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?

The description lists customization dimensions but gives no when-to-use or when-not-to-use guidance, and never names an alternative tool. An agent gets no routing help between this and the nearby image-generation siblings.

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