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capture_scene_screenshot

Boot a Godot scene with a rendering driver, capture a screenshot, and save it as PNG. Accepts scene path and optional parameters for viewport size and capture delay.

Instructions

EXPERIMENTAL visual UAT: boot a scene with a rendering driver and save a PNG screenshot. Requires a GPU/display or a software rasterizer; may fail in pure-headless CI. Returns the image.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectPathYesPath to the Godot project directory
scenePathYesPath to the scene to capture (relative to project)
outputPathNoWhere to save the PNG (relative to project, default user://screenshot.png)
waitFramesNoFrames to advance before capturing (default 5)
widthNoViewport width (default from project settings)
heightNoViewport height (default from project settings)
Behavior3/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It does disclose key traits: experimental nature, rendering requirement, potential headless failure, and that it returns an image. However, it omits details on side effects (e.g., whether it modifies the project), error handling, and the exact return format. These gaps bring the score down to a mid-range.

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 extremely concise: two short sentences, no fluff. It front-loads the key purpose and experimental warning. Every word earns its place. This is a model of efficiency.

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 6 parameters, no output schema, and is experimental, the description is too brief. It does not explain the return format of the image (e.g., file path or data URL), nor does it describe the default behavior for optional parameters. An agent would struggle to correctly interpret the output without additional guidance. More context is needed for safe and correct invocation.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds no additional parameter meanings beyond those already in the schema. It does not reference parameters like projectPath, scenePath, etc., and does not clarify their values or constraints. Thus, it meets the baseline but does not exceed it.

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 purpose: boot a scene with a rendering driver and save a PNG screenshot. It uses specific verbs ('boot', 'save') and identifies the resource (scene, screenshot). The 'EXPERIMENTAL' label provides immediate context. Sibling tools are all development-oriented, with no screenshot capture tools, so differentiation is clear without needing to mention alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states prerequisites ('Requires a GPU/display or a software rasterizer') and warns about failure in pure-headless CI. It implies usage for visual UAT (user acceptance testing) scenarios. However, it does not explicitly state when not to use this tool, nor does it compare to alternative approaches.

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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