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Claude Talk to Figma MCP

by arinspunk

set_text_case

Change text case in Figma design files by modifying text nodes to UPPER, LOWER, TITLE, or ORIGINAL case through Claude AI commands.

Instructions

Set the text case of a text node in Figma

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeIdYesThe ID of the text node to modify
textCaseYesText case type

Implementation Reference

  • MCP tool registration for 'set_text_case', including schema validation with Zod and handler that sends the command to Figma plugin and returns success/error message.
    server.tool(
      "set_text_case",
      "Set the text case of a text node in Figma",
      {
        nodeId: z.string().describe("The ID of the text node to modify"),
        textCase: z.enum(["ORIGINAL", "UPPER", "LOWER", "TITLE"]).describe("Text case type"),
      },
      async ({ nodeId, textCase }) => {
        try {
          const result = await sendCommandToFigma("set_text_case", {
            nodeId,
            textCase
          });
          const typedResult = result as { name: string, textCase: string };
          return {
            content: [
              {
                type: "text",
                text: `Updated text case of node "${typedResult.name}" to ${typedResult.textCase}`
              }
            ]
          };
        } catch (error) {
          return {
            content: [
              {
                type: "text",
                text: `Error setting text case: ${error instanceof Error ? error.message : String(error)}`
              }
            ]
          };
        }
      }
    );
  • Handler function for the 'set_text_case' tool that executes the logic by calling sendCommandToFigma and formats the response.
    async ({ nodeId, textCase }) => {
      try {
        const result = await sendCommandToFigma("set_text_case", {
          nodeId,
          textCase
        });
        const typedResult = result as { name: string, textCase: string };
        return {
          content: [
            {
              type: "text",
              text: `Updated text case of node "${typedResult.name}" to ${typedResult.textCase}`
            }
          ]
        };
      } catch (error) {
        return {
          content: [
            {
              type: "text",
              text: `Error setting text case: ${error instanceof Error ? error.message : String(error)}`
            }
          ]
        };
      }
    }
  • Input schema for 'set_text_case' tool using Zod: nodeId (string) and textCase (enum: ORIGINAL, UPPER, LOWER, TITLE).
    {
      nodeId: z.string().describe("The ID of the text node to modify"),
      textCase: z.enum(["ORIGINAL", "UPPER", "LOWER", "TITLE"]).describe("Text case type"),
    },
  • 'set_text_case' included in FigmaCommand type union for internal type safety when sending commands.
    | "set_text_case"
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states this modifies a text node (implying mutation) but doesn't cover critical aspects like permissions needed, whether changes are reversible, rate limits, or what happens on success/failure. This leaves significant gaps 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.

Conciseness5/5

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

The description is a single, efficient sentence that directly states the tool's purpose without any fluff or redundancy. It's appropriately sized and front-loaded with the essential information.

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 incomplete. It lacks behavioral context (e.g., side effects, error conditions), usage guidance relative to siblings, and any information about return values or success indicators, leaving the agent with insufficient operational knowledge.

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 fully documents both parameters (nodeId and textCase with enum values). The description adds no additional parameter semantics beyond what's in the schema, meeting the baseline for high schema coverage.

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 the text case') and target resource ('a text node in Figma'), making the purpose immediately understandable. However, it doesn't differentiate from similar sibling tools like 'set_text_content' or 'set_text_decoration' that also modify text nodes, which prevents a perfect score.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a valid text node ID), exclusions (e.g., not applicable to non-text nodes), or relationships with sibling tools like 'set_text_content' for broader text modifications.

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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