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create_persona

Create a new AI persona by specifying name, avatar, voice, and system prompt to define its personality and behavior.

Instructions

Create a new Anam persona with specified avatar, voice, and personality.

Args: name: Display name for the persona (e.g., "Customer Support Agent") avatar_id: UUID of the avatar. Use list_avatars or search_avatars to find one. voice_id: UUID of the voice. Use list_voices or search_voices to find one. system_prompt: Instructions defining the persona's personality and behavior. llm_id: UUID of the LLM. Defaults to Anam's standard LLM.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
avatar_idYes
voice_idYes
system_promptYes
llm_idNo0934d97d-0c3a-4f33-91b0-5e136a0ef466

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as side effects, required permissions, rate limits, or confirmation. It only lists parameters without discussing behavior beyond creation.

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 concise with one introductory sentence followed by a structured bullet list for arguments, front-loading the purpose and providing necessary details without redundancy.

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

Completeness4/5

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

Given the existence of an output schema and the description's thorough parameter explanations, it is mostly complete. However, it lacks mention of default behavior or prerequisites beyond finding IDs.

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

Parameters5/5

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

With 0% schema description coverage, the description adds substantial meaning by explaining each parameter with examples and references to sibling tools (e.g., 'Use list_avatars or search_avatars to find one'), greatly aiding the agent.

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 ('Create') and resource ('a new Anam persona'), and it distinguishes from sibling tools like create_avatar and create_voice by specifying the persona components (avatar, voice, personality).

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

Usage Guidelines3/5

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

The description implies a workflow by referencing list_avatars and list_voices to find IDs, but it does not explicitly state when to use this tool versus alternatives like update_persona or when not to use it.

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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