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create_voice_from_preview

Convert a designed voice preview into a permanent voice. Provide a name and description for the new voice to save it.

Instructions

Save a previously designed voice preview as a permanent voice.

Args: voice_name: name for the new voice. voice_description: description of the voice. generated_voice_id: id returned by design_voice.

Returns the new voice's id and name as JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
voice_nameYes
voice_descriptionYes
generated_voice_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses that the tool returns the new voice's id and name as JSON, which is a behavioral trait. The write nature (saving as permanent) is implied. More details on permissions or side effects could improve transparency.

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 extremely concise: one purpose sentence, then a list of arguments, and a return note. Every sentence adds value. Front-loaded with the main action.

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

Completeness5/5

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

Given the tool has 3 required parameters, an output schema (though not shown), and many sibling tools, the description is complete. It explains the relationship with 'design_voice', details all parameters, and specifies the return format. No extra information is needed for an agent to use it correctly.

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?

Schema description coverage is 0%, so the description must compensate. It explains each parameter: 'voice_name', 'voice_description', and 'generated_voice_id' (noting it comes from 'design_voice'). This adds meaning beyond the schema, but could include constraints like length or format.

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 action ('Save a previously designed voice preview as a permanent voice') and the resource (voice preview). It distinguishes from siblings like 'design_voice' (which creates the preview) and 'clone_voice', making the purpose unambiguous.

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

Usage Guidelines4/5

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

The description implies when to use: after designing a voice with 'design_voice'. It lists required arguments including 'generated_voice_id' returned by 'design_voice', providing clear context. However, it does not explicitly state when not to use or mention alternatives.

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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