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elevenlabs

ElevenLabs MCP Server

Official
by elevenlabs

make_outbound_call

Destructive

Place outbound calls through ElevenLabs agents. Automatically selects the correct API for Twilio or SIP trunk providers. Specify agent ID, phone number ID, and recipient number in E.164 format.

Instructions

Make an outbound call using an ElevenLabs agent. Automatically detects provider type (Twilio or SIP trunk) and uses the appropriate API.

⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.

Args:
    agent_id: The ID of the agent that will handle the call
    agent_phone_number_id: The ID of the phone number to use for the call
    to_number: The phone number to call (E.164 format: +1xxxxxxxxxx)

Returns:
    TextContent containing information about the call

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYes
agent_phone_number_idYes
to_numberYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYes
textYes
annotationsNo
_metaNo
Behavior4/5

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

Annotations already indicate destructive and open-world hints. The description adds specifics: automatic provider detection and a cost warning about ElevenLabs API calls. This extends beyond annotations but does not detail all behavioral traits (e.g., call duration, error handling).

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 very concise, front-loaded with the purpose, followed by a cost warning and parameter list. No redundant sentences; every word adds value. The structure is clear and easy to scan.

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 tool's simplicity and presence of an output schema, the description adequately covers key aspects: purpose, parameters, return type, and cost implications. However, it lacks context on prerequisites (e.g., agent setup) or error scenarios, leaving some gaps for an agent.

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?

With 0% schema description coverage, the description provides textual explanations for all three parameters (agent_id, agent_phone_number_id, to_number), including the expected format for to_number. This adds critical meaning beyond the schema, though descriptions are minimal and could include where to obtain IDs.

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 tool's purpose: making an outbound call using an ElevenLabs agent. It specifies the action ('make'), resource ('ElevenLabs agent'), and includes automatic provider detection, which is a distinctive feature. The tool is unique among siblings as no other tool performs outbound calling.

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 includes a cost warning and explicitly states 'Only use when explicitly requested by the user,' providing a clear usage constraint. However, it does not mention when not to use this tool or suggest alternatives, though the sibling list implies uniqueness.

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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