ghl_conversation_live_chat_agent_typing

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

Annotations provide some info (readOnlyHint=false, destructiveHint=false, openWorldHint=true). The description adds the endpoint and OAuth scopes, and clarifies it's a typing indicator (not a message). However, it does not disclose potential side effects (e.g., overwriting previous typing status), rate limits, or idempotency behavior.

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 concise, with the main purpose front-loaded. It includes relevant technical details (endpoint, OAuth scopes) without excessive fluff. Minor improvement could be a clearer separation of purpose and technical info.

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?

For a simple typing indicator tool, the description covers the basic purpose and parameters. However, it lacks information about return values (no output schema) and does not provide guidance on when to use this tool versus other conversation messaging tools among the many siblings.

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 100% with descriptions for all parameters. The description does not add any additional meaning or context beyond what the schema provides. Baseline of 3 is appropriate.

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 is for sending a typing indicator in live chat. It specifies 'Agent/Ai-Bot is typing a message indicator' and 'will call this when they are typing a message.' However, it does not explicitly differentiate from sibling tools like ghl_conversation_add_inbound_message or ghl_conversation_send_message, which are for actual messages.

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 usage when an agent or AI bot is typing in a live chat message. It does not provide explicit when-not-to-use scenarios, alternatives, or prerequisites. The context from sibling tools is not leveraged to guide selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.