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render_quad_views

Render four canonical views from Houdini scenes and retrieve image paths. Caution: may crash the MCP connection; pass allow_dangerous=True to proceed.

Instructions

Render 4 canonical views from Houdini and return the image paths.
WARNING: known to crash the MCP connection (WinError 10054). Pass allow_dangerous=True to proceed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
render_pathNo
karma_engineNocpu
render_engineNoopengl
allow_dangerousNo
Behavior4/5

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

With no annotations, the description carries the full burden. It explicitly discloses a known crash issue ('WARNING: known to crash the MCP connection (WinError 10054)') and instructs to pass allow_dangerous=True. This is significant behavioral transparency beyond a typical render tool. However, it doesn't elaborate on other side effects or why the crash occurs, so it doesn't earn a 5.

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 two sentences with no wasted words. It front-loads the primary action and immediately follows with a critical warning. Every sentence earns its place.

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?

Given 4 parameters and no output schema, the description is minimal but covers the primary return value (image paths) and the main risk. However, it does not explain what the 4 canonical views are, how the render engines differ, or what render_path expects. For a complex tool with 0% schema coverage, it leaves too much to inference, making it just adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for all 4 parameters. It only mentions allow_dangerous, explaining its purpose ('Pass allow_dangerous=True to proceed'), but provides no meaning for render_path, karma_engine, or render_engine. This leaves 3 out of 4 parameters unexplained, which is a significant gap given the schema has no descriptions.

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 clearly states the tool's function: 'Render 4 canonical views from Houdini and return the image paths.' This is a specific verb+resource+scope (render quad views) and is distinguishable from sibling tools like render_single_view and render_specific_camera. It immediately conveys what the tool does without ambiguity.

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 usage when 4 canonical views are needed, but it does not explicitly mention when to use this tool over alternatives like render_single_view or render_flipbook. There is no guidance on exclusions or alternatives, only a warning. Context from sibling tools suggests multiple rendering options, so more explicit usage guidance would be beneficial.

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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