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VapiAI

Vapi MCP Server

Official
by VapiAI

create_assistant

Create a Vapi assistant for voice conversations by configuring its name, instructions, LLM model, voice, transcriber, first message, and tools.

Instructions

Creates a new Vapi assistant

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the assistant
instructionsNoInstructions for the assistantYou are a helpful assistant.
llmNoLLM configuration
toolIdsNoIDs of tools to use with this assistant
transcriberNoTranscription configuration
voiceNoVoice configuration
firstMessageNoFirst message to say to the userHello, how can I help you today?
firstMessageModeNoThis determines who speaks first, either assistant or userassistant-speaks-first
Behavior2/5

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

No annotations are provided, so the description carries full responsibility. It only states the tool creates an assistant, with no insight into side effects, authentication needs, rate limits, or what happens on success/failure. This is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, non-wasteful sentence. It is front-loaded with the action. However, for a complex tool with 8 parameters, slightly more context might be warranted, but it remains appropriately concise.

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 the tool's complexity (8 parameters, nested objects, no output schema) and absence of annotations, the description is inadequate. It does not explain return values, relationship to other entities (e.g., tools), or typical workflow integration.

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 coverage is 100%, so baseline is 3. The description adds no parameter-specific meaning beyond the schema; it simply states the tool's purpose. No extra value is provided.

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 (creates) and resource (new Vapi assistant), and implicitly distinguishes from sibling tools like create_call or create_tool. It is specific and unambiguous.

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 (e.g., update_assistant) or any context about prerequisites or typical use cases. It lacks any usage direction.

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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