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fastmcp-me

Telnyx MCP Server

by fastmcp-me

get_assistant

Retrieve an AI Assistant by ID to get its configuration and optionally fetch dynamic variables from a webhook. Use this to integrate Telnyx assistant data.

Instructions

Get an AI Assistant by ID.

Args: assistant_id: Required. Assistant ID. fetch_dynamic_variables_from_webhook: Optional boolean. Whether to fetch dynamic variables from webhook. from_: Optional. From parameter for dynamic variables. to: Optional. To parameter for dynamic variables. call_control_id: Optional. Call control ID for dynamic variables.

Returns: Dict[str, Any]: Response data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYes
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It implies a read operation but does not explicitly confirm safety, permissions, side effects, or error behavior. The sparse description 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.

Conciseness4/5

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

The description is concise and well-structured with an opening purpose, an Args section, and a Returns section. Minor redundancy in 'Assistant ID' appears twice, but overall it is efficient.

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?

The tool has a simple purpose, but the description is minimal for the information needed. It does not explain the return format beyond 'Dict[str, Any]', does not mention use cases or alternatives, and lacks details about the relationship between the listed args and the actual schema wrapper. Given no annotations or output schema, this is incomplete.

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?

The schema is a generic wrapper with only a 'request' object, providing 0% coverage. The description lists five parameters with brief explanations, adding meaning that the schema lacks. However, it does not reconcile these with the actual 'request' wrapper, which could confuse agents.

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 'Get an AI Assistant by ID' with a specific verb and resource. It distinguishes itself from sibling tools like list_assistants and create_assistant by noting the ID-based retrieval.

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 given about when to use this tool versus alternatives such as get_assistant_texml or list_assistants. It only states what it does, without any context 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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