Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is well-organized and highly actionable with executable CLI examples and a clear single-task workflow, though it suffers from redundant input documentation across three sections.
Suggestions
Consolidate the input documentation so width/height appear once instead of in the Inputs bullets, the Input table, and the Input JSON Schema.
Use valid example values in the 'How to Call' snippet (the stated constraint is > 0) instead of "width": 0, "height": 0, which the tool would reject.
Fix the stray duplicate '## Input' heading (Inputs and Input both cover the same parameters).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with no concept explanations Claude already knows, but the input is documented three times (Inputs bullets, Input table, and Input JSON Schema), which is redundant padding that could be consolidated. | 2 / 3 |
Actionability | Provides fully executable commands ('unity-mcp-cli run-tool screenshot-scene-view --input ...') plus three concrete invocation methods (inline, --input-file, stdin) and troubleshooting, making the guidance copy-paste ready. | 3 / 3 |
Workflow Clarity | As a single-task skill the action is unambiguous, and the Behavior section sequences the internal steps (locate SceneView, allocate RenderTexture, swap, Render, ReadPixels, encode, restore) with explicit error cases ('Throws/errors when no Scene View is open or the Scene View camera is null'). | 3 / 3 |
Progressive Disclosure | The body is under 50 lines with well-organized sections (Inputs, Behavior, How to Call, Troubleshooting, Input, Output) and no need for external bundle files, satisfying the simple-skill exception for progressive disclosure. | 3 / 3 |
Total | 11 / 12 Passed |