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sandraschi

Robotics MCP Server

by sandraschi

robot_virtual

Create, read, update, delete, and manage virtual robots in Unity, VRChat, or Resonite. Spawn robots, load environments, retrieve status and LiDAR data, adjust scale, test navigation, and sync with physical robots.

Instructions

Virtual robot lifecycle and operations portmanteau.

PORTMANTEAU PATTERN: Consolidates virtual robot CRUD operations and virtual robotics operations into a single unified tool. This reduces tool explosion while maintaining full functionality for virtual robot management.

CRUD OPERATIONS:

  • create: Create/spawn and register a new virtual robot

  • read: Get details of an existing virtual robot

  • update: Modify virtual robot properties (scale, position, metadata, etc.)

  • delete: Remove and unregister a virtual robot

  • list: List all virtual robots with optional filtering

VIRTUAL ROBOT OPERATIONS:

  • spawn: Spawn robot in Unity/VRChat scene (alias for create)

  • load_environment: Load Marble/Chisel environment into scene

  • get_status: Get virtual robot status

  • get_lidar: Get virtual LiDAR scan (Unity physics raycast)

  • set_scale: Scale robot size (for size testing)

  • test_navigation: Test pathfinding in environment

  • sync_with_physical: Sync vbot state with physical bot

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scaleNoSize multiplier for create/spawn/update/set_scale.
metadataNoAdditional metadata dictionary for create/update.
platformNoTarget platform ("unity", "vrchat", "resonite"). Default: "unity".unity
positionNoSpawn/update position (x, y, z) for create/spawn/update.
robot_idNoVirtual robot identifier (required for read, update, delete, get_status, etc.). Auto-generated for create/spawn if not provided.
operationYesOperation to perform (see CRUD and Virtual Robot Operations above).
model_pathNoPath to 3D model file (.glb, .fbx, .vrm) for custom robot_type.
robot_typeNoType of robot (required for create/spawn). Examples: "scout", "go2", "g1", "robbie", "custom"
environmentNoEnvironment name (Marble-generated) for load_environment.
project_pathNoUnity project path (optional, auto-detected if not provided).
environment_pathNoPath to environment file for load_environment.
include_collidersNoWhether to import collider meshes (default: True).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description must bear the full behavioral-transparency burden. It does supply useful behavioral clues, such as spawn being an alias for create, delete removing and unregistering the robot, and get_lidar using Unity physics raycasting. But it does not disclose side effects, failure modes, or the implications of syncing with a physical bot, which matters for a tool spanning mutating operations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-organized into CRUD and virtual operation categories, which aids scanning. However, it is verbose, repeats the portmanteau concept, and duplicates create/spawn information. The structure is useful, but some sentences are filler.

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

Completeness4/5

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

For a multi-operation tool with 12 parameters and an operation enum, the description covers each operation with a one-line definition and makes key parameter-operation relationships clear, such as robot_id being required for most targeting. The output schema exists to cover return values, and generated necessary per-operation parameter mapping is largely delegated to individual parameter descriptions, which are already populated.

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 description coverage is 100%, so the parameters are well-documented in the schema itself. The tool description does add minor operation-to-parameter context by mentioning scale, position, and metadata groups, but it largely relies on the schema for parameter meaning. That matches the baseline expectation when schema coverage is high.

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 tool as managing virtual robot CRUD and virtual robotics operations, with explicit operation names and brief definitions. It is specific about the resource (virtual robots) and the supported verbs. It does not explicitly differentiate itself from sibling tools like vbot_crud, so it falls short of full 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 description implies use for any virtual robot lifecycle or operations need, and the portmanteau pattern explanation justifies consolidation. However, it gives no explicit guidance on when to choose this tool over alternatives such as vbot_crud or robot_control, nor does it state when these operations are not appropriate.

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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