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get_queue_status

Check the speech synthesis queue status to monitor active playback and pending voice generation tasks.

Instructions

再生キューの状態を取得

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The main handler for the get_queue_status tool. It calls queue.getStatus() and returns the queue status as JSON.
    case "get_queue_status": {
      const status = queue.getStatus();
      return {
        content: [
          {
            type: "text",
            text: JSON.stringify(status, null, 2),
          },
        ],
      };
    }
  • src/index.ts:98-105 (registration)
    Registration of the get_queue_status tool in the MCP server. Defines the tool name, description, and input schema (empty object as it takes no parameters).
    {
      name: "get_queue_status",
      description: "再生キューの状態を取得",
      inputSchema: {
        type: "object",
        properties: {},
      },
    },
  • The getStatus() method in the Queue class that returns the current queue status including size, processing state, and current task.
    getStatus(): QueueStatus {
      return {
        size: this.tasks.length,
        isProcessing: this.isProcessing,
        currentTask: this.currentTask,
      };
    }
  • The QueueStatus interface/type definition that defines the structure of the queue status response.
    export interface QueueStatus {
      size: number;
      isProcessing: boolean;
      currentTask?: QueueTask;
    }
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It fails to mention whether this is a read-only operation, what the 'status' includes, return format, or any side effects. The description only states the basic action without behavioral context.

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 with no wasted words. However, given the lack of annotations and output schema, it may be overly minimal rather than appropriately sized for complete understanding.

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

Completeness3/5

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

For a zero-parameter tool, the description minimally suffices to identify the tool's domain (playback queue). However, without an output schema or annotations, it lacks necessary details about what status information is returned, making it only adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, establishing a baseline score of 4. The description does not need to compensate for missing schema documentation.

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 tool retrieves (取得) the playback queue (再生キュー) status (状態), providing a specific verb-resource pair. However, it does not explicitly differentiate from sibling 'clear_queue' in the description text, though the tool name implies the distinction.

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 like 'clear_queue' or 'say', nor does it mention prerequisites or conditions for invocation.

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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