human_agent_takeover
Pause AI responses to allow a human support agent to take over the live chat.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| bot_id | Yes | ||
| pause_ai | No | ||
| session_id | Yes |
Pause AI responses to allow a human support agent to take over the live chat.
| Name | Required | Description | Default |
|---|---|---|---|
| bot_id | Yes | ||
| pause_ai | No | ||
| session_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states that AI responses are paused, but does not mention permissions, reversibility (how to resume AI), side effects, or what the tool returns. For a state-mutating operation with three parameters, this is a significant gap.
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 single sentence is efficient, front-loaded with the core action, and contains no filler. It could optionally include a bit more context, but it is well-structured for a quick-purpose statement.
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 the tool's complexity (a state-changing operation with required IDs, no annotations, no output schema, and zero parameter documentation), the description is incomplete. An agent would not know how to resume AI, what permissions are needed, or what the call returns, making it under-specified for reliable invocation.
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%, and the description does not explain any of the three parameters. 'Pause AI' hints at the pause_ai flag, but there is no explanation of bot_id or session_id, nor of what happens when pause_ai is false. The description adds almost no meaning beyond the parameter names.
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 states a specific action: pause AI responses to enable a human takeover of a live chat. It clearly conveys the resource (live chat) and the mechanism (pausing AI), setting it apart from a simple message-sending tool. However, it does not explicitly contrast with siblings like send_agent_message, which also operate on live conversations.
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?
There is no guidance on when to use this tool versus alternatives, no prerequisites, and no indication of when not to use it. The phrase 'allow a human support agent to take over' implies a context, but does not tell the agent when to choose this action over, say, sending a message or adding an internal note.
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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