This Krita MCP server has 15 tools with reasonably clear naming and mostly complete schemas. Strengths: consistent verb-noun naming (krita_*), all tools have descriptions (10-150 chars typical), and all input parameters are typed with descriptions. Weaknesses: descriptions are often too brief (under 50 chars) and lack context about when to use each tool; output schemas are undocumented (tools return plain strings, not structured objects); no explicit error handling guidance for LLMs; missing parameter constraints (enums, ranges); no documentation of state dependencies or tool composition; parameter names like 'shape' accept free-form strings instead of enums. Results are returned as plain text rather than structured JSON, forcing LLMs to parse unstructured responses. The server operates over HTTP to a Krita plugin, not directly, this introduces a dependency on an external service that could fail or be unavailable. Overall, definitions are functional but lack production-grade polish.

• Return structured JSON objects instead of plain strings. For example, krita_new_canvas should return {"status": "created", "document_id": "...", "width": 800, "height": 600, "background": "#1a1a2e"} so LLMs can extract and chain these fields.
• Add enum constraints to 'shape' parameter in krita_draw_shape. Change description to: 'Type of shape ("rectangle", "ellipse", or "line")'.
• Expand descriptions to 50-150 characters with context. Example: 'Undo the last action. Call this after an unwanted stroke, fill, or shape. Use krita_redo() to revert the undo.' This explains when and why to use it.
• Add parameter ranges and constraints to numeric inputs. Example for krita_new_canvas: width (100-4000 pixels, default 800), height (100-4000 pixels, default 600). For krita_stroke: pressure (0.0 to 1.0, where 1.0 is full opacity).
• Document output schema for each tool. Add a 'Returns' section to docstrings. Example: 'Returns {"status": "success", "x": int, "y": int, "color": hex_string, "r": int, "g": int, "b": int}' for krita_get_color_at.
• Add error guidance. Instead of returning plain error strings, return structured errors with actionable next steps: {"error": "Cannot connect to Krita", "retryable": true, "next_step": "Ensure Krita is running and the MCP plugin is enabled"}.
• Add confirmation before destructive operations. Implement krita_clear_confirm and krita_save_confirm tools that return a confirmation_id, which the agent must then pass to a confirmed_krita_clear(confirmation_id) to execute. Or add a 'dry_run' parameter to preview the outcome.