Generate a context-aware AI reply for a customer message. The system keeps conversation state per customer_identifier (e.g. phone, email, CRM ID).
| Name | Required | Description | Default |
|---|---|---|---|
| message | Yes | ||
| variables | No | ||
| assistant_id | Yes | ||
| customer_identifier | Yes | Stable per-customer ID; max 255 chars |
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | ||
| message | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate write and non-idempotent behavior. The description adds that it maintains conversation state, which is a valuable behavioral detail. However, it does not disclose potential side effects like creating conversations or rate limits.
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 extremely concise—two sentences—with no wasted words. It front-loads the core action and key differentiating feature (context-aware, stateful).
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?
Despite having an output schema, the description does not mention what the tool returns. It also omits prerequisites (e.g., existing assistant, conversation) and the effect on conversation state when no prior conversation exists.
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?
Only 25% of parameters are described in the schema. The description adds context for customer_identifier (state key) and implicitly for message, but leaves assistant_id and variables completely unexplained.
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 tool generates a context-aware AI reply for a customer message, and mentions state management per customer. However, it does not explicitly differentiate from sending tools like send_message, leaving ambiguity about whether it also sends the reply.
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 provides no guidance on when to use this tool versus alternatives such as send_message or create_conversation. It mentions state per customer, but no explicit conditions, prerequisites, or exclusions.
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.
