enable_assistant_conversation_ended_webhook
Enable conversation-ended (chat) webhook for an assistant.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| webhook_url | Yes | ||
| assistant_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | ||
| message | No |
Enable conversation-ended (chat) webhook for an assistant.
| Name | Required | Description | Default |
|---|---|---|---|
| webhook_url | Yes | ||
| 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 idempotent, non-destructive write operation. The description adds no additional behavioral context, such as what happens if the webhook is already enabled, authentication requirements, or side effects.
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, concise sentence that front-loads the key information. However, it is too brief and sacrifices necessary detail.
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?
Given an output schema exists and the tool is simple, the description is still insufficient. It omits parameter semantics and usage context, making it hard for an agent to call correctly without additional knowledge.
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 description coverage is 0%. The description does not explain the purpose or constraints of 'webhook_url' or 'assistant_id', leaving the agent to infer from names alone. No format, validation, or example is provided.
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 the action 'Enable' and the specific resource 'conversation-ended (chat) webhook for an assistant', which distinguishes it from sibling tools like 'enable_assistant_inbound_webhook' and 'disable_assistant_conversation_ended_webhook'.
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?
No guidance is provided on when to use this tool versus alternatives, prerequisites, or effects. The description lacks context on enabling versus updating webhooks or handling duplicate calls.
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.