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cristoferarango

blender-studio-pro-mcp

render_image

Render the current scene to an image file, specifying output path, engine, samples, and resolution.

Instructions

Render the current scene to an image file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
engineNo
samplesNo
output_pathYes
resolution_xNo
resolution_yNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavior, yet it only states the basic action. It does not mention potential side effects (e.g., overwriting files, blocking the UI), asynchronous nature, or return value expectations. For a tool that performs a potentially long-running render, this is a significant omission.

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, dense sentence with no extraneous words. It is appropriately front-loaded with the core action and resource, achieving maximum conciseness without redundancy.

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

Completeness1/5

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

The tool has 5 parameters, no annotations, and no parameter documentation, yet the description offers no additional context about how to prepare the scene, choose an engine, or interpret output. The existence of an output schema does not compensate for the missing guidance on parameters and workflow, making this description severely incomplete for an agent.

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

Parameters1/5

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

The schema has zero coverage (no descriptions for any of the 5 parameters), and the description does not explain any of them. Parameters like 'engine' and 'samples' are left entirely cryptic, and the description fails to compensate for the lack of schema documentation. This is a critical gap for correct parameter usage.

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 action ('Render') and the target ('current scene to an image file'), making the primary purpose unmistakable. However, it does not explicitly differentiate from sibling tools like batch_render or render_turntable, which serve related but distinct rendering tasks, so it loses a point for lack of sibling discrimination.

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?

No guidance is provided on when to use this tool instead of alternatives such as batch_render (for multiple frames) or get_viewport_screenshot (for a quick viewport capture). The description gives no context about typical usage scenarios or exclusions, leaving the agent to infer applicability.

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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