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genart-dev

genart-mcp

by genart-dev

design_create_winter_woodland

Generate a winter woodland scene with overcast sky, gentle hills, deep snow, conifer treeline, pine canopy vignette, and morning mist using configurable layer presets.

Instructions

Create a winter woodland scene: overcast sky + gentle hills + deep snow + conifer treeline + pine canopy vignette + morning mist.

Input Schema

NameRequiredDescriptionDefault
seedNoBase seed for all layers.
fogPresetNoOverride preset for fog layer.
skyPresetNoOverride preset for sky layer.
terrainPresetNoOverride preset for terrain layer.
treelinePresetNoOverride preset for treeline layer.
vignettePresetNoOverride preset for vignette layer.
atmosphericModeNoAtmospheric depth mode for terrain layers. Defaults to 'western'.
snowfieldPresetNoOverride preset for snowfield layer.

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 at all, the description carries the full behavioral burden and doesn't meet it. It never says whether this creates a new sketch, mutates the active one, what layers it adds, whether existing content is replaced, or whether the preset overrides are destructive to prior settings.

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?

A single front-loaded sentence with the scene type first and the component list after; nothing wasted and nothing buried.

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?

For an unannotated, 8-parameter creation tool with no output schema and no sibling differentiation, the description omits critical context: what artifact is produced, where it lands, and what happens to current canvas state. The composition list alone is insufficient for an agent to invoke it safely.

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 the baseline is 3; the description lifts it by mapping each element of the composition to a layer preset (sky, terrain, snowfield, treeline, vignette, fog), revealing the defaults those override params replace. Seed and atmosphericMode are left unexplained, keeping it below 5.

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?

Specific verb ('Create') plus a named scene preset, and the composition list (overcast sky, hills, snow, treeline, vignette, mist) makes clear what the generated scene contains. It implicitly distinguishes itself from siblings like design_create_forest_clearing or design_create_landscape, but never says so explicitly.

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?

No when-to-use guidance, no prerequisites (e.g. does a sketch/workspace need to be open?), and no mention of the many alternative scene-preset siblings. The agent must infer selection from the scene name alone.

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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