frame_selection
Focus the Houdini viewport on your selected objects or components to center and zoom the camera on them.
Instructions
Frame the viewport on the current selection.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Focus the Houdini viewport on your selected objects or components to center and zoom the camera on them.
Frame the viewport on the current selection.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description bears full responsibility for behavioral transparency. It states the operation ('frame the viewport') but doesn't disclose prerequisites (e.g., valid selection) or side effects (e.g., changes camera). For a simple viewport operation, this is adequate but lacks depth.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence with no filler. It conveys the essential action efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a parameterless tool with no output schema, the description sufficiently explains the tool's action. However, it could benefit from a note about the relationship to 'frame_all' for full context, so it is complete but not exhaustive.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, so the baseline is 4. The description correctly omits any parameter details, as there are none to explain.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'frame' with the resource 'viewport' and scope 'current selection,' clearly distinguishing it from the sibling tool 'frame_all' which frames everything. It is precise and unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage (to bring the selection into view) but does not explicitly state when to use it instead of alternatives like 'frame_all' or 'set_viewport_camera.' No exclusion or alternative guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/JTCHE/houdini-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server