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Telnyx MCP Server

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by team-telnyx

start_assistant_call

Initiate phone calls using an AI assistant by specifying source and destination numbers, enabling automated voice interactions.

Instructions

Start a call using an AI Assistant with a phone number.

Args:
    assistant_id: Required. ID of the assistant to use for the call.
    to: Required. Destination phone number to call.
    from_: Required. Source phone number to call from (must be a number on your Telnyx account).

Returns:
    Dict[str, Any]: Response data from the call initiation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assistant_idYes
toYes
from_Yes
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 mentions the source phone number requirement but doesn't describe authentication needs, rate limits, error conditions, or what happens during call initiation. For a mutation tool with zero annotation coverage, this leaves significant behavioral gaps.

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 efficiently structured with a clear opening statement followed by organized parameter and return sections. Every sentence serves a purpose with zero wasted words, making it easy to parse and understand quickly.

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

Completeness3/5

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

For a mutation tool with 3 parameters, no annotations, and no output schema, the description provides adequate basic information but lacks details about authentication, error handling, response format, or call behavior. It's minimally viable but has clear gaps given the tool's complexity.

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?

Schema description coverage is 0%, so the description must compensate. It provides clear semantic meaning for all three parameters: 'assistant_id' (ID of assistant to use), 'to' (destination phone number), and 'from_' (source phone number with account requirement). This adds substantial value beyond the bare schema.

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 specific action ('Start a call'), resource ('using an AI Assistant with a phone number'), and distinguishes it from siblings like 'make_call' by specifying it uses an AI assistant rather than a generic call. It provides a complete verb+resource+scope combination.

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 usage context by specifying 'must be a number on your Telnyx account' for the 'from_' parameter, but doesn't explicitly state when to use this tool versus alternatives like 'make_call' or provide clear exclusions. Guidance is present but not comprehensive.

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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