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render_and_view

Render a 3D scene to a PNG image with adjustable engine, resolution, and sample settings, then automatically display the result for review.

Instructions

Render a still and return the image so you must look at it.

Args: output: PNG destination under the output folder. blend_file: Optional .blend to open first. engine: Prefer EEVEE while iterating. samples: Sample count. width: Width in pixels. height: Height in pixels. target: "auto", "live" or "headless".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
widthNo
engineNoEEVEE
heightNo
outputNorender.png
targetNoauto
samplesNo
blend_fileNo
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It states the tool renders and returns an image, but it does not clarify whether it writes a file, what the return format is, or any side effects. The note 'PNG destination under the output folder' hints at file creation but lacks detail on permissions or destructive potential.

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: a one-line purpose followed by a cleanly structured Args list. Every line adds information. The phrase 'so you must look at it' is slightly informal but not wasteful. A bit more front-loading on the actual return behavior could improve it.

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?

Given the tool has 7 parameters and no output schema or annotations, the description should cover the return format, typical use, and constraints. It covers parameter meanings but misses details on what 'return the image' means (file path vs. data), the rendering process time, and how the output is delivered. The complexity of rendering requires more context.

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?

With 0% schema description coverage, the description carries full burden for parameter meaning. It provides brief explanations for all 7 parameters (e.g., 'Sample count', 'Width in pixels'), adding value beyond the schema's name and defaults. However, some explanations are minimal (e.g., target options are listed without definitions) and do not fully compensate for the lack of schema descriptions.

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 the tool renders a still image and returns it for viewing. The verb 'Render' and resource 'still' are specific. However, it does not differentiate from the sibling tool 'render', which may have a similar purpose, lacking explicit distinction.

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 provides a minor usage hint ('Prefer EEVEE while iterating') for the engine parameter, but no guidance on when to use this tool versus alternatives like 'render' or 'view_image'. No context is given for the target parameter options or prerequisites.

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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