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get_speech

Retrieve specific speech details from the Tavus MCP Server using a unique identifier to access synthesized audio content for video generation and conversational AI applications.

Instructions

Get details of a specific speech

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
speech_idYesUnique identifier for the speech
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states 'Get details' which implies a read operation, but doesn't disclose behavioral traits like authentication needs, rate limits, error conditions, or what 'details' specifically includes. For a tool with no annotation coverage, this is inadequate.

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 a single, efficient sentence with zero waste. It's front-loaded with the core purpose and appropriately sized for a simple retrieval tool, making it easy to parse quickly.

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?

Given no annotations and no output schema, the description is incomplete. It doesn't explain what 'details' are returned, potential side effects, or error handling. For a tool in a context with many sibling operations, more context about its role and behavior is needed.

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%, with the single parameter 'speech_id' clearly documented in the schema. The description adds no additional meaning about the parameter beyond implying it identifies 'a specific speech', which aligns with but doesn't enhance the schema. Baseline 3 is appropriate when schema does the heavy lifting.

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 action ('Get details') and resource ('a specific speech'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'list_speeches' or 'get_conversation' which have similar 'get' patterns, missing an opportunity for clearer distinction.

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?

No guidance is provided on when to use this tool versus alternatives. With siblings like 'list_speeches' (for multiple items) and 'get_conversation' (for different resource types), the description offers no context about prerequisites, appropriate scenarios, or exclusions.

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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