conversation_ai_create_action

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

Annotations indicate readOnlyHint=false, so a mutating operation is expected, and destructiveHint=false. The description adds no further behavioral detail—no mention of side effects, authentication requirements, or conditions. It is consistent with annotations but adds no value beyond them.

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?

While extremely short, this is under-specification rather than conciseness. A single vague phrase does not front-load any useful information. For a tool with 4 required parameters and a complex nested details object, this is grossly insufficient structure.

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 (nested details, multiple action types, enums) and lack of output schema, the description is wholly incomplete. An agent lacks critical context about action types, required details per type, or any return behavior. Nothing an agent needs to call it correctly is present.

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 only 25% (only the details object has a description). The description does not explain any parameter: agentId, type, name, or details. With low schema coverage, the description should compensate, but it provides zero parameter semantics, leaving an agent to guess what values are expected.

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 'Attach Action to Agent' is vague about the operation. It uses a verb ('Attach') but doesn't clarify that this creates a new action, nor does it specify the action types or the relation to an agent. It doesn't distinguish from similar sibling tools like conversation_ai_create_agent or voice_ai_create_action, and could be misinterpreted as attaching an existing action.

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 mention of prerequisites, scenarios, or exclusions. An agent has no idea when to choose this over conversation_ai_update_action or voice_ai_create_action, or how it differs from creating an agent.

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