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set_stroke_color

Change the stroke color of a Figma design element by specifying RGB values and optional transparency and weight.

Instructions

Set the stroke color of a node in Figma

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeIdYesThe ID of the node to modify
rYesRed component (0-1)
gYesGreen component (0-1)
bYesBlue component (0-1)
aNoAlpha component (0-1)
weightNoStroke weight

Implementation Reference

  • Handler function that executes the tool logic by sending the 'set_stroke_color' command to the Figma plugin via WebSocket, using the provided nodeId, color components (r,g,b,a), and optional stroke weight. Returns a formatted text response with the result or error.
    async ({ nodeId, r, g, b, a, weight }) => {
      try {
        const result = await sendCommandToFigma("set_stroke_color", {
          nodeId,
          color: { r, g, b, a: a || 1 },
          weight: weight || 1,
        });
        const typedResult = result as { name: string };
        return {
          content: [
            {
              type: "text",
              text: `Set stroke color of node "${typedResult.name
                }" to RGBA(${r}, ${g}, ${b}, ${a || 1}) with weight ${weight || 1}`,
            },
          ],
        };
      } catch (error) {
        return {
          content: [
            {
              type: "text",
              text: `Error setting stroke color: ${error instanceof Error ? error.message : String(error)
                }`,
            },
          ],
        };
      }
  • Zod schema defining the input parameters for the set_stroke_color tool: required nodeId (string), r/g/b (numbers 0-1), optional a (0-1), optional positive weight.
    {
      nodeId: z.string().describe("The ID of the node to modify"),
      r: z.number().min(0).max(1).describe("Red component (0-1)"),
      g: z.number().min(0).max(1).describe("Green component (0-1)"),
      b: z.number().min(0).max(1).describe("Blue component (0-1)"),
      a: z.number().min(0).max(1).optional().describe("Alpha component (0-1)"),
      weight: z.number().positive().optional().describe("Stroke weight"),
    },
  • Registration of the 'set_stroke_color' MCP tool on the McpServer instance, including name, description, input schema, and handler function.
    server.tool(
      "set_stroke_color",
      "Set the stroke color of a node in Figma",
      {
        nodeId: z.string().describe("The ID of the node to modify"),
        r: z.number().min(0).max(1).describe("Red component (0-1)"),
        g: z.number().min(0).max(1).describe("Green component (0-1)"),
        b: z.number().min(0).max(1).describe("Blue component (0-1)"),
        a: z.number().min(0).max(1).optional().describe("Alpha component (0-1)"),
        weight: z.number().positive().optional().describe("Stroke weight"),
      },
      async ({ nodeId, r, g, b, a, weight }) => {
        try {
          const result = await sendCommandToFigma("set_stroke_color", {
            nodeId,
            color: { r, g, b, a: a || 1 },
            weight: weight || 1,
          });
          const typedResult = result as { name: string };
          return {
            content: [
              {
                type: "text",
                text: `Set stroke color of node "${typedResult.name
                  }" to RGBA(${r}, ${g}, ${b}, ${a || 1}) with weight ${weight || 1}`,
              },
            ],
          };
        } catch (error) {
          return {
            content: [
              {
                type: "text",
                text: `Error setting stroke color: ${error instanceof Error ? error.message : String(error)
                  }`,
              },
            ],
          };
        }
      }
    );

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed8 schema fields changedv1.0.0
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / a
      Added value: +{
      +  "description": "Alpha component (0-1)",
      +  "maximum": 1,
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / b
      Added value: +{
      +  "description": "Blue component (0-1)",
      +  "maximum": 1,
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / g
      Added value: +{
      +  "description": "Green component (0-1)",
      +  "maximum": 1,
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / nodeId
      Added value: +{
      +  "description": "The ID of the node to modify",
      +  "type": "string"
      +}
    • addedInput schema / properties / r
      Added value: +{
      +  "description": "Red component (0-1)",
      +  "maximum": 1,
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / weight
      Added value: +{
      +  "description": "Stroke weight",
      +  "exclusiveMinimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / required
      Added value: +[
      +  "nodeId",
      +  "r",
      +  "g",
      +  "b"
      +]
  2. First observed

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does not mention side effects (e.g., whether it replaces existing stroke colors), permissions, error conditions, or return values. For a mutation tool, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single efficient sentence that earns its place. It is not overly verbose, though it could be slightly more informative without becoming bloated.

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?

For a mutation tool with no annotations and no output schema, the description is insufficient. It does not explain what happens after the stroke color is set, whether the node must have a stroke, or any other behavioral context. The schema covers parameters, but return values and edge cases remain undocumented.

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 schema already documents all parameters (nodeId, r, g, b, a, weight). The description adds no parameter-specific meaning, but per the rubric baseline 3 applies when schema coverage is high.

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 a specific action ('Set') on a specific resource ('stroke color of a node in Figma'). It distinguishes from siblings like set_fill_color by explicitly naming 'stroke color'.

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 versus alternatives such as set_fill_color, nor are any prerequisites or constraints mentioned. The description only states what it does, not when or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.