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Mfrostbutter

fusion-cad-mcp

by Mfrostbutter

screenshot

Capture the active Fusion 360 viewport as a PNG image (base64), with configurable direction, size, transparency, and anti-aliasing.

Instructions

Capture a PNG screenshot of the active viewport. Returns base64 image in envelope.image. direction: one of current, front, back, bottom, top, left, right, iso-* (4 variants). Fusion handles fit-view internally for named directions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
widthNo
heightNo
directionNoiso-top-right
transparentNo
anti_aliasingNo
Behavior4/5

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

With no annotations provided, the description carries the behavioral burden itself. It discloses that the tool returns a base64 PNG in envelope.image, lists named view directions, and notes that Fusion automatically performs fit-view for those directions. This is useful behavioral context, though it does not mention edge cases like whether the active view mutates or how transparent/anti-aliasing affect the output.

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 concise and front-loaded. The first sentence states the core behavior, the second clarifies the return value, and the third provides direction and fit-view behavior. Every sentence contributes value without fluff.

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

Completeness4/5

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

For a straightforward screenshot tool with no output schema, the description covers the essential return format and key camera behavior. It misses an explicit comparison with screenshot_compare_with_marker and the units/semantics of width/height, but the intent is still fully usable.

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. It only enriches the 'direction' parameter with a set of allowed values; width, height, transparent, and anti_aliasing are left with their schema defaults and titles only. This leaves the tool operating semantics relatable but insufficient.

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 starts with a specific verb and resource: 'Capture a PNG screenshot of the active viewport.' It clearly states the output format and image location. However, it does not explicitly distinguish itself from the sibling tool screenshot_compare_with_marker, so it misses the highest bar for sibling differentiation.

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 gives direction options and notes that Fusion handles fit-view internally, but it does not explain when to use this tool versus screenshot_compare_with_marker, set_view, or export. There is no explicit context for selecting this tool over alternatives.

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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