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enable_conversation_ai

Idempotent

Re-enable AI replies for a conversation after a human takeover.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uuidYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
messageNo

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already indicate non-destructive and idempotent behavior. The description adds context about the 'after human takeover' scenario but does not disclose prerequisites or side effects, such as whether the tool fails if AI replies are already enabled. The description does not contradict annotations.

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 a single sentence of 10 words, front-loading the key verb and resource. Every word is necessary, and there is no redundancy.

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 simple toggle tool with one parameter, the description is adequate but lacks details on prerequisites (e.g., conversation must exist and have been previously disabled) and expected output. The presence of an output schema slightly compensates, but the description could be richer.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has one parameter 'uuid' with 0% schema description coverage. The description does not explain what 'uuid' represents (presumably the conversation identifier), leaving the agent without guidance on how to supply this required parameter.

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 verb 'Re-enable AI replies' and the resource 'a conversation after a human takeover,' which is specific and distinguishes it from sibling 'disable_conversation_ai'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description specifies when to use the tool ('after a human takeover'), providing clear context for re-enabling AI. It does not explicitly list alternatives or when not to use, but the condition is sufficient for a toggle-like operation.

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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TDQS

B3.2/5.0
Disambiguation4/5

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.

Naming Consistency4/5

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.

Tool Count2/5

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.

Completeness4/5

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.