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Blender Copilot MCP Server

by dwgx

unity_setup_expression_menu

Generates a VRCExpressionsMenu .asset file for Unity from a JSON blueprint. Defines menu controls like buttons, toggles, and submenus with parameters.

Instructions

Generate VRCExpressionsMenu .asset file from a JSON blueprint.

Parameters:

  • project_path: Unity project path

  • menu_json: JSON string defining menu structure. Format: {"controls": [{"name": "Emotes", "type": "SubMenu", "icon": "", "subMenu": "Assets/VRC/EmotesMenu.asset"}, {"name": "Toggle Hat", "type": "Toggle", "parameter": "HatToggle"}]} Types: Button, Toggle, SubMenu, TwoAxisPuppet, FourAxisPuppet, RadialPuppet

  • output_path: Where to save the .asset file (default: "Assets/VRC/ExpressionMenu.asset")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
menu_jsonNo
output_pathNoAssets/VRC/ExpressionMenu.asset
project_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description should disclose behavioral traits. It mentions generating an asset file but does not warn about overwriting, validation, permissions, or error handling. The behavioral context is minimal.

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?

The description is concise and structured with bullet points and an example. It is front-loaded and each sentence adds value, though it could be slightly more succinct.

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?

The description covers core functionality but lacks details on prerequisites, error states, or return values (though an output schema exists). It is adequate but not complete for a tool with moderate complexity.

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 0%, so the description must add meaning. It provides a JSON format example for menu_json and defaults for output_path, which adds value beyond the empty schema. However, project_path is only described as 'Unity project path' without further detail.

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 states it generates a VRCExpressionsMenu .asset file from a JSON blueprint, using specific verbs and resources. However, it does not differentiate from the sibling tool 'vrc_generate_expression_menu', which likely serves a similar purpose.

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 guidance is provided on when to use this tool versus alternatives like 'vrc_generate_expression_menu'. The description lacks any usage context or conditions.

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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