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genart-dev

genart-mcp

by genart-dev

design_add_clouds

Adds a noise-driven cloud layer to a generative sketch using presets like fair-weather, overcast, or storm-clouds, with control over coverage, cloud type, and seed.

Instructions

Add a cloud layer to the sketch. Choose from presets: fair-weather, overcast, wispy-high, storm-clouds, scattered. Renders noise-driven cloud formations via ImageData buffer.

Input Schema

NameRequiredDescriptionDefault
nameNoCustom layer name.
seedNoRandom seed for cloud variation.
presetNoCloud preset. Defaults to 'fair-weather'.
coverageNoCloud coverage 0-1.
cloudTypeNoCloud formation type.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It mentions noise-driven rendering via an ImageData buffer, but does not disclose mutation side effects, layer placement, whether existing layers are affected, performance implications, or authentication/precondition needs.

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?

Three short sentences, front-loaded with the core action. The preset list repeats schema enum values, but it is useful scanning context and the description contains no filler.

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

Completeness3/5

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

For a simple layer-addition tool with rich schema coverage and no output schema, the description covers purpose and rendering mechanism adequately. However, with no annotations and no output schema, it omits return behavior and side effects that would help an agent invoke it confidently.

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 schema already documents all five parameters including the preset enum. The description repeats the preset values but adds no semantic detail for seed, coverage, or cloudType beyond what the schema already provides, so baseline 3 is appropriate.

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 and resource: 'Add a cloud layer to the sketch.' The preset list and rendering note make the operation concrete, but the description never distinguishes it from nearby siblings such as design_add_sky or design_add_fog_layer.

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?

Explains how to configure the tool with presets, but gives no guidance on when to use it versus siblings like design_add_sky, design_add_fog_layer, or design_add_haze. No exclusions, prerequisites, or alternative paths are stated.

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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