list_voices
Lists uploaded reference voices and their voice IDs so you can identify and select the right voice for speech generation and cloning.
Instructions
列出已上传参考音色及 voiceId
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Lists uploaded reference voices and their voice IDs so you can identify and select the right voice for speech generation and cloning.
列出已上传参考音色及 voiceId
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full behavioral burden. It discloses that the result includes uploaded reference voices and their voiceId, but says nothing about ordering, pagination, empty results, or permissions. Listing is inherently read-only, but the description does not state that explicitly.
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 front-loaded sentence with no filler. Every word contributes to identifying the resource and the key return field.
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?
There is no output schema and no annotations, so the description should more fully explain the return shape. It mentions voiceId, which helps, but leaves the agent unsure whether the response is a simple array, an object, or includes additional metadata.
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 has zero parameters, so the baseline is 4. There are no parameters whose meaning needs to be disambiguated in the description.
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 gives a specific verb-resource pair: '列出' (list) '已上传参考音色' (uploaded reference voices) and 'voiceId'. It distinguishes itself from upload_voice by listing uploaded items rather than uploading, though it does not explicitly contrast with list_models.
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 how to discover available voiceId values before calling generate. There is no explicit statement of when to use this versus list_models or other siblings, and no prerequisites or exclusions are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.