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AIWerk

@aiwerk/mcp-server-ghl

by AIWerk

conversations_live_chat_agent_typing

Send a typing indicator to a live chat visitor to show that an AI agent is composing a message.

Instructions

Agent/Ai-Bot is typing a message indicator for live chat

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
isTypingYesTyping status
visitorIdYesvisitorId is the Unique ID assigned to each Live chat visitor. visitorId will be added soon in <a href="https://highlevel.stoplight.io/docs/integrations/00c5ff21f0030-get-contact" target="_blank">GET Contact API</a>
locationIdNoLocation Id Defaults to GHL_LOCATION_ID when omitted.
conversationIdYesConversation Id
Behavior2/5

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

Annotations already indicate this is not read-only (readOnlyHint=false) and not idempotent, but the description adds little beyond stating an 'indicator'. It does not disclose the side effects (e.g., whether it actually sends a typing status to the client, whether it requires an active connection, or whether it overrides existing statuses). With annotations covering some aspects, the description should contextualize the behavior but fails to do so.

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 a single concise sentence with no filler. It states the core purpose efficiently, and while it could be more detailed, it is not bloated. It earns its place by clarifying the domain (agent/bot typing indicator) beyond the tool name.

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?

For a mutation tool (readOnlyHint=false) with no output schema, the description should clarify the effect and any prerequisites. It only vaguely mentions an 'indicator' without explaining how the parameters interact (e.g., what does 'isTyping' accept? Does visitorId/conversationId identify the chat context?). The description is insufficient for an agent to correctly invoke the tool without guessing.

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?

Schema description coverage is 100%, so all parameters have descriptions, but some are vague (e.g., isTyping just says 'Typing status' without specifying valid values, such as boolean or string enums). The tool description adds nothing beyond the schema, so it meets the baseline of 3 for high coverage without adding extra semantic value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear purpose: 'Agent/Ai-Bot is typing a message indicator for live chat' – it indicates the tool signals a typing status. It is specific enough to distinguish it from other conversation tools (no other typing tool exists among siblings), though it could be more explicit about the action being performed (e.g., 'use this to send a typing indicator').

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

Usage Guidelines3/5

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

Usage is implied: use this when you want to indicate that an agent/bot is typing in a live chat. However, there is no explicit guidance on when to use vs. alternatives, nor any note about prerequisites. Since no sibling tool covers typing, the ambiguity is low, but the description still lacks explicit 'when to use' clarity.

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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