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SekaiNoOwari77

mcp-3d-modeling-agent

blender_msfs_livery_create_paint_layers

Creates MSFS livery paint layer images for an object, including primer, base color, cheatline, belly, details, decals, weathering, and clearcoat. Specify layers and resolution to prepare textures for livery workflow.

Instructions

Create paint layer images for livery workflow (primer, base_color, cheatline, belly, details, decals, weathering, clearcoat)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
layersNoLayer names to create (default: all layers)
object_nameYesName of the object
texture_resolutionNoResolution for each layer [width, height]

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.4.0

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says the tool creates paint layer images; it does not disclose whether existing layers are overwritten, whether the operation is destructive, what prerequisites exist, or what side effects occur in the Blender scene or filesystem.

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?

The description is a single focused sentence with a parenthetical list of layer types. It front-loads the main action and resource, and every part contributes useful information without filler or redundancy.

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?

Despite complete parameter schema coverage, there is no output schema, no annotations, and no description of what the tool returns or where the created images go. Given the specialized MSFS livery workflow, an agent would benefit from knowing prerequisites, side effects, and what a successful invocation produces, none of which are disclosed.

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 description coverage is 100%, so the schema already documents all three parameters. The description adds value by enumerating the expected layer names (primer, base_color, cheatline, belly, details, decals, weathering, clearcoat), which clarifies what values the `layers` parameter accepts beyond the schema's generic wording.

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?

The description clearly identifies the action ('Create paint layer images') and the resource ('paint layer images for livery workflow'), and usefully enumerates the known layer types. It does not explicitly contrast itself with sibling livery tools such as livery_setup_paint_mode or livery_export_textures, so it misses the strongest form of sibling differentiation.

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 phrase 'for livery workflow' gives an implied usage context, so an agent can infer this belongs to livery creation. However, there is no explicit guidance on when to use this tool versus related livery tools like setup_paint_mode, load_template_overlay, or export_textures, and no exclusions or prerequisites 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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