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tauri_ipc_execute_command

Execute Tauri IPC commands to invoke Rust backend functions from Tauri applications, enabling communication between frontend and backend components.

Instructions

[Tauri Apps Only] Execute Tauri IPC commands (invoke Rust backend functions). Requires active tauri_driver_session. This is Tauri-specific IPC, not browser APIs. For Electron IPC or browser APIs, use appropriate tools for those frameworks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commandYes
argsNo
appIdentifierNoApp port or bundle ID to target. Defaults to the only connected app or the default app if multiple are connected.

Implementation Reference

  • Core handler function that executes Tauri IPC commands by connecting to the plugin client via WebSocket and invoking the specified command with arguments.
    export async function executeIPCCommand(options: {
       command: string;
       args?: unknown;
       appIdentifier?: string | number;
    }): Promise<string> {
       try {
          const { command, args = {}, appIdentifier } = options;
    
          // Ensure we have an active session and are connected
          const client = await ensureSessionAndConnect(appIdentifier);
    
          // Send IPC command via WebSocket to the mcp-bridge plugin
          const response = await client.sendCommand({
             command: 'invoke_tauri',
             args: { command, args },
          });
    
          if (!response.success) {
             return JSON.stringify({ success: false, error: response.error || 'Unknown error' });
          }
    
          return JSON.stringify({ success: true, result: response.data });
       } catch(error: unknown) {
          const message = error instanceof Error ? error.message : String(error);
    
          return JSON.stringify({ success: false, error: message });
       }
    }
  • Zod schema defining the input parameters for the tool: command (string), optional args (unknown), and optional appIdentifier (string or number).
    export const ExecuteIPCCommandSchema = z.object({
       command: z.string(),
       args: z.unknown().optional(),
       appIdentifier: z.union([ z.string(), z.number() ]).optional().describe(
          'App port or bundle ID to target. Defaults to the only connected app or the default app if multiple are connected.'
       ),
    });
  • Tool definition and registration in the central TOOLS registry array, with inline handler that validates inputs and delegates to executeIPCCommand.
    {
       name: 'tauri_ipc_execute_command',
       description:
          '[Tauri Apps Only] Execute Tauri IPC commands (invoke Rust backend functions). ' +
          'Requires active tauri_driver_session. This is Tauri-specific IPC, not browser APIs. ' +
          'For Electron IPC or browser APIs, use appropriate tools for those frameworks.',
       category: TOOL_CATEGORIES.IPC_PLUGIN,
       schema: ExecuteIPCCommandSchema,
       annotations: {
          title: 'Execute Tauri IPC Command',
          readOnlyHint: false,
          destructiveHint: false,
          openWorldHint: false,
       },
       handler: async (args) => {
          const parsed = ExecuteIPCCommandSchema.parse(args);
    
          return await executeIPCCommand({
             command: parsed.command,
             args: parsed.args,
             appIdentifier: parsed.appIdentifier,
          });
       },
    },
Behavior4/5

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

Annotations indicate readOnlyHint=false, destructiveHint=false, and openWorldHint=false, but the description adds valuable context: it specifies the prerequisite ('Requires active tauri_driver_session') and clarifies the scope ('Tauri-specific IPC, not browser APIs'), which helps the agent understand operational constraints beyond the basic safety hints.

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 front-loaded with the core purpose, followed by prerequisites and exclusions in three concise sentences, with no wasted words—each sentence adds necessary context without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (IPC command execution with 3 parameters) and lack of output schema, the description covers purpose, prerequisites, and framework specificity well. However, it could benefit from more details on return values or error handling, but the annotations and clear usage guidelines make it largely complete for agent selection.

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 33% (only appIdentifier has a description), but the description does not provide additional details about the command or args parameters beyond what the schema implies. It mentions 'invoke Rust backend functions' which hints at the command's purpose, but lacks specifics on format or examples, resulting in a baseline score due to partial coverage.

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 the specific action ('Execute Tauri IPC commands') and target ('invoke Rust backend functions'), distinguishing it from sibling tools like tauri_webview_execute_js or tauri_ipc_emit_event by specifying it's for command execution rather than JavaScript, event emission, or other operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly states when to use ('Requires active tauri_driver_session') and when not to use ('For Electron IPC or browser APIs, use appropriate tools for those frameworks'), providing clear alternatives and context for framework-specific usage.

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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