health
Verify local models, FFmpeg, VoxCPM2 service, and GPU VRAM status to diagnose audio generation setup problems before synthesis.
Instructions
检查本地模型、FFmpeg、VoxCPM2 服务和 GPU 显存状态。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Verify local models, FFmpeg, VoxCPM2 service, and GPU VRAM status to diagnose audio generation setup problems before synthesis.
检查本地模型、FFmpeg、VoxCPM2 服务和 GPU 显存状态。
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v0.3.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It usefully enumerates exactly what subsystems are probed, which is real behavioral disclosure, and '检查' implies a read-only operation, but it says nothing about return format, latency, or whether checks fail gracefully.
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?
A single compact sentence that front-loads the verb and lists the checked components with no filler.
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 zero-parameter diagnostic with no output schema, the description covers what is inspected. The remaining gap is that the shape of the health report is undocumented, but that is a minor omission for a tool this simple.
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 tool takes zero parameters, so the baseline is 4; there is nothing for the description to disambiguate.
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?
States a specific verb (检查 / check) plus four concrete resources: local model, FFmpeg, VoxCPM2 service, and GPU VRAM. It is unmistakably a diagnostic tool versus the speech-oriented siblings, though it does not name any sibling explicitly.
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?
Usage is only implied: an agent can infer this is a pre-flight/diagnostic check to run before calling speak or sing_* tools. There is no explicit 'use when' statement, no conditions, and no mention of alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.