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get_persona

Retrieve details for a specific persona using its unique identifier to access persona information within the Tavus video generation and conversational AI platform.

Instructions

Get details of a specific persona

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
persona_idYesUnique identifier for the persona
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It only states what the tool does ('Get details') without describing what 'details' include, whether it's a read-only operation, error conditions, or any performance characteristics. For a retrieval tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 (5 words) and front-loaded with the essential information. Every word earns its place - 'Get' (action), 'details' (what's retrieved), 'specific persona' (target resource). There's no wasted verbiage or unnecessary elaboration.

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

Completeness2/5

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

For a retrieval tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what 'details' are returned, the format of the response, or any error scenarios. Given the server context with multiple similar tools, more differentiation and behavioral context would be helpful for an agent to use this tool effectively.

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

Parameters3/5

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

Schema description coverage is 100%, so the parameter 'persona_id' is fully documented in the schema. The description doesn't add any meaningful parameter semantics beyond what's already in the schema (e.g., it doesn't explain what constitutes a valid persona_id or where to find one). This meets the baseline expectation when schema coverage is high.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('Get') and resource ('details of a specific persona'), making it immediately understandable. However, it doesn't distinguish this tool from its sibling 'list_personas' (which presumably lists multiple personas), leaving some ambiguity about when to use one versus the other.

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

Usage Guidelines2/5

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 like 'list_personas' or other get_* siblings. It doesn't mention prerequisites (e.g., needing a persona_id) or contextual factors that would help an agent choose between similar retrieval tools.

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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