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Claude Talk to Figma MCP

by arinspunk

set_multiple_text_contents

Simultaneously update text content for multiple nodes inside a parent Figma node by specifying each text node's ID and replacement text.

Instructions

Set multiple text contents parallelly in a node

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeIdYesThe ID of the node containing the text nodes to replace
textYesArray of text node IDs and their replacement texts

Implementation Reference

  • MCP tool handler for 'set_multiple_text_contents'. Registers the tool via server.tool() with Zod schema validation (nodeId as string, text as coerced JSON array of {nodeId, text} objects). The handler sends the 'set_multiple_text_contents' command to Figma via WebSocket (sendCommandToFigma), then formats progress and detailed results for the response.
    // Set Multiple Text Contents Tool
    server.tool(
      "set_multiple_text_contents",
      "Set multiple text contents parallelly in a node",
      {
        nodeId: z
          .string()
          .describe("The ID of the node containing the text nodes to replace"),
        text: coerceJson(z
          .array(
            z.object({
              nodeId: z.string().describe("The ID of the text node"),
              text: z.string().describe("The replacement text"),
            })
          ))
          .describe("Array of text node IDs and their replacement texts"),
      },
      async ({ nodeId, text }, extra) => {
        try {
          if (!text || text.length === 0) {
            return {
              content: [
                {
                  type: "text",
                  text: "No text provided",
                },
              ],
            };
          }
    
          // Initial response to indicate we're starting the process
          const initialStatus = {
            type: "text" as const,
            text: `Starting text replacement for ${text.length} nodes. This will be processed in batches of 5...`,
          };
    
          // Track overall progress
          let totalProcessed = 0;
          const totalToProcess = text.length;
    
          // Use the plugin's set_multiple_text_contents function with chunking
          const result = await sendCommandToFigma("set_multiple_text_contents", {
            nodeId,
            text,
          });
    
          // Cast the result to a specific type to work with it safely
          interface TextReplaceResult {
            success: boolean;
            nodeId: string;
            replacementsApplied?: number;
            replacementsFailed?: number;
            totalReplacements?: number;
            completedInChunks?: number;
            results?: Array<{
              success: boolean;
              nodeId: string;
              error?: string;
              originalText?: string;
              translatedText?: string;
            }>;
          }
    
          const typedResult = result as TextReplaceResult;
    
          // Format the results for display
          const success = typedResult.replacementsApplied && typedResult.replacementsApplied > 0;
          const progressText = `
          Text replacement completed:
          - ${typedResult.replacementsApplied || 0} of ${totalToProcess} successfully updated
          - ${typedResult.replacementsFailed || 0} failed
          - Processed in ${typedResult.completedInChunks || 1} batches
          `;
    
          // Detailed results
          const detailedResults = typedResult.results || [];
          const failedResults = detailedResults.filter(item => !item.success);
    
          // Create the detailed part of the response
          let detailedResponse = "";
          if (failedResults.length > 0) {
            detailedResponse = `\n\nNodes that failed:\n${failedResults.map(item =>
              `- ${item.nodeId}: ${item.error || "Unknown error"}`
            ).join('\n')}`;
          }
    
          return {
            content: [
              initialStatus,
              {
                type: "text" as const,
                text: progressText + detailedResponse,
              },
            ],
          };
        } catch (error) {
          return {
            content: [
              {
                type: "text",
                text: `Error setting multiple text contents: ${error instanceof Error ? error.message : String(error)}`,
              },
            ],
          };
        }
      }
    );
  • Input schema for 'set_multiple_text_contents' using Zod. Requires a nodeId (string) and text (coerced JSON array of objects with nodeId and text fields). The 'coerceJson' wrapper allows JSON string input to be auto-parsed.
    server.tool(
      "set_multiple_text_contents",
      "Set multiple text contents parallelly in a node",
      {
        nodeId: z
          .string()
          .describe("The ID of the node containing the text nodes to replace"),
        text: coerceJson(z
          .array(
            z.object({
              nodeId: z.string().describe("The ID of the text node"),
              text: z.string().describe("The replacement text"),
            })
          ))
          .describe("Array of text node IDs and their replacement texts"),
      },
  • Registration of the 'set_multiple_text_contents' tool via server.tool(). The tool is registered inside the registerTextTools() function exported from text-tools.ts, which is called from src/talk_to_figma_mcp/tools/index.ts line 22.
    // Set Multiple Text Contents Tool
    server.tool(
  • The 'coerceJson' helper function used in the schema. It wraps a Zod schema with z.preprocess to auto-parse JSON strings, enabling MCP to pass the 'text' parameter as either a JSON string or already-parsed array.
    export const coerceJson = <T extends z.ZodTypeAny>(schema: T) =>
      z.preprocess((val) => {
        if (typeof val === "string") {
          try { return JSON.parse(val); } catch { return val; }
        }
        return val;
      }, schema);
  • Type definition for the FigmaCommand union type, including 'set_multiple_text_contents' as a valid command string, ensuring type safety when sending commands via WebSocket.
    | "set_multiple_text_contents"
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It uses the vague term 'parallelly' without explaining concurrency semantics, error handling, or atomicity. It does not disclose whether the operation overwrites or merges content, or if it requires certain permissions. This minimal disclosure is insufficient for a mutation tool.

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 sentence with no wasted words. It is front-loaded with the verb and resource. However, it could be more informative while remaining concise, such as mentioning the tool's advantage over multiple calls to set_text_content.

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 absence of an output schema and the presence of sibling tools, the description is incomplete. It does not explain the return value (e.g., success status) or the relationship between the parent nodeId and the text array's nodeId fields. The description should cover more contextual details to aid correct usage.

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 coverage is 100% with clear descriptions for both parameters. The description adds the notion of parallelism but does not provide additional meaning beyond the schema. The baseline of 3 is appropriate as the schema already documents parameters adequately.

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 clearly states the action ('Set') and resource ('multiple text contents') and adds 'parallelly' to indicate concurrency. However, it does not differentiate from the sibling tool 'set_text_content', which likely sets a single text content. The purpose is clear but could be improved by explicitly contrasting with the single-text counterpart.

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 like 'set_text_content'. The description does not state that this is for batch operations or that it requires a parent node ID and an array of child text nodes. This lack of guidance may lead to incorrect tool selection.

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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