voicebox_status
Check the status of a text-to-speech task to monitor its progress and completion using the task ID.
Instructions
Check the status of a TTS task
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes | Task ID to check |
Check the status of a text-to-speech task to monitor its progress and completion using the task ID.
Check the status of a TTS task
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes | Task ID to check |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool checks status, implying a read-only operation, but doesn't specify if it requires authentication, has rate limits, returns specific status values (e.g., pending, completed, failed), or handles errors. This leaves significant gaps in understanding the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and efficiently communicates the core function, making it highly concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations and no output schema, the description is incomplete. It doesn't explain what status information is returned (e.g., progress, errors, completion state), which is critical for a status-checking tool. Given the lack of structured data, the description should provide more context to be fully helpful.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, with the single parameter 'task_id' clearly documented. The description doesn't add any semantic details beyond what the schema provides, such as the format or source of the task ID. Given the high schema coverage, a baseline score of 3 is appropriate as the description doesn't compensate but also doesn't detract.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Check') and resource ('status of a TTS task'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'voicebox_health' or 'voicebox_metrics', which might also provide status-related information, so it doesn't reach the highest score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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, such as needing a task ID from a previous operation, or contrast it with siblings like 'voicebox_health' for system health or 'voicebox_speak' for initiating tasks, leaving usage context unclear.
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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