create_conversation
Start a new chat session with an assistant (widget=paid, test=free).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| type | No | ||
| variables | No | ||
| assistant_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | ||
| message | No |
Start a new chat session with an assistant (widget=paid, test=free).
| Name | Required | Description | Default |
|---|---|---|---|
| type | No | ||
| variables | No | ||
| assistant_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | ||
| message | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate non-readonly and non-destructive behavior. The description adds minimal behavioral context beyond the type parameter (widget=paid, test=free). It does not disclose side effects, return behavior, or prerequisites, relying on the annotations for safety context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that is extremely concise, front-loading the main purpose and adding the key parameter distinction without unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the essential purpose and one parameter, but lacks details on the 'variables' parameter and the output schema (though output schema exists). For a tool with nested objects and additional properties, more completeness would be beneficial.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, but the description only adds meaning for the 'type' parameter via the hint. The required 'assistant_id' and optional 'variables' are not described, leaving a significant gap despite the low coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Start a new chat session with an assistant', specifying the action and resource. The parenthetical '(widget=paid, test=free)' distinguishes the tool from sibling create_* tools by hinting at the type parameter differentiating paid vs free assistants.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is for starting a new conversation, but does not explicitly state when to use it versus alternatives like 'generate_ai_reply' or 'send_message' for existing conversations. No exclusions or when-not-to-use guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools target distinct resources and actions clearly (e.g., create_assistant vs create_campaign). However, there is some overlap like get_outbound_assistants vs get_assistants and list_all_phone_numbers vs get_phone_numbers, causing minor ambiguity.
Tools follow a consistent verb_noun pattern with underscores (e.g., create_document, delete_label, get_voices). Only minor deviations exist, such as generate_ai_reply and list_all_phone_numbers, but overall the pattern is maintained.
With 75 tools, the server is excessively large. Although the domain is broad (assistants, calls, messaging, etc.), the number of tools makes it difficult for agents to navigate and select the correct one, reducing coherence.
The tool set covers CRUD operations for most resources, plus webhooks, AI replies, and reference data fetching. Minor gaps exist (e.g., no delete_conversation, no attach phone number to assistant), but the surface is largely comprehensive for the platform's purpose.