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Create RealSense depth bus

create_realsense_depth_bus

Create an Intel RealSense depth-camera scaffold with selectable source modes (RealSense, NDI, WebSocket, sample) and routing for depth, color, and point-cloud data.

Instructions

Create an Intel RealSense depth-camera scaffold with RealSense TOP, NDI, WebSocket adapter, or sample-source modes plus depth/color/point-cloud routing notes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoGenerated baseCOMP name.realsense_depth_bus
activeNo
ndi_sourceNoNDI source name for depth input.RealSense Depth
resolutionNo848x480
server_urlNoAdapter WebSocket URL.ws://127.0.0.1:9015
parent_pathNoParent COMP for the RealSense depth scaffold./project1
source_modeNorealsense_top
include_colorNo
serial_numberNoOptional RealSense camera serial number.
include_pointcloudNo
Behavior2/5

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

The description discloses that the tool creates a 'scaffold' and includes routing notes, but provides no detail on side effects such as whether existing nodes are modified, if external dependencies are required, or what exactly a scaffold entails. With annotations indicating readOnlyHint=false and destructiveHint=false, the description adds little beyond the term 'create' to clarify the mutation behavior or network impact.

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 sentence that front-loads the core action and resource ('Create an Intel RealSense depth-camera scaffold'), then efficiently lists the modes and key routing features. No redundant or filler words; every phrase contributes to understanding the tool's scope.

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 being a complex tool with 10 parameters and no output schema, the description does not explain what the scaffold looks like, what the routing notes contain, how the modes differ in behavior, or what the operation returns. It lacks crucial context for an agent to predict the outcome or verify success, especially when many similar create_*_bus tools exist.

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?

The description adds some meaning by mapping source_mode options (e.g., 'RealSense TOP' to realsense_top) and hinting at include_color/include_pointcloud via 'depth/color/point-cloud routing notes.' However, it does not clarify parameters like resolution, serial_number, server_url, or parent_path beyond the schema's own descriptions. Schema coverage is about 50%, so the description provides partial compensation but not full context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states it creates an Intel RealSense depth-camera scaffold, listing the specific source modes (RealSense TOP, NDI, WebSocket adapter, sample-source) and mentions depth/color/point-cloud routing notes. This clearly distinguishes it from sibling tools like create_zed_depth_bus or create_azure_kinect_body_bus by naming the device and modes.

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?

The description gives no explicit guidance on when to use this tool versus alternatives. It does not mention which sibling tools are preferable for other camera types or data sources, nor does it describe prerequisite hardware/software (e.g., RealSense SDK or NDI). The intended usage is only implied by the 'RealSense' keyword.

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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