ghl_conversation_ai_create_agent

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states 'Create' without mentioning permissions, idempotency, uniqueness constraints, or what the response returns. This is insufficient for a mutating action.

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 a single, front-loaded sentence: 'Create a Conversation AI agent (AskAI / AI Employee)'. It contains no wasted words or redundant information.

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 create tool with no annotations and no output schema, the description is too sparse. It does not clarify whether parameters are required (schema says 0 required), what the success/failure response looks like, or any prerequisites. The low parameter count reduces complexity, but the description still leaves key operational details unaddressed.

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 100%, with both 'agentName' and 'agentRole' having descriptions. The tool description adds no additional constraints or context beyond the schema, so the baseline 3 applies.

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 'Create a Conversation AI agent (AskAI / AI Employee)' uses a specific verb and resource, clearly identifying the tool's function. It distinguishes itself from sibling create tools by product type (Conversation AI vs Voice AI vs Agent Studio), though it does not explicitly name those alternatives.

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?

No guidance is provided on when to use this tool versus the other agent creation tools (e.g., voice_ai_create_agent, agent_studio_create_agent). The context is implied only by the tool name, not stated in the description.

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