set_conversational_automation

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. The single sentence only implies a mutation via 'set' but does not disclose whether settings are overwritten, partially updated, or whether there are any side effects. There is no information about permissions, validation, or default 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 extremely brief at one sentence, but it is under-specified rather than concise. Every word is generic, and the lack of detail forces the agent to rely entirely on the schema. The sentence could be improved by listing the adjustable settings or typical use cases.

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?

The description is incomplete for a tool with three parameters and no output schema. It does not explain what happens when settings are applied, whether all fields are required despite the schema marking none as required, or what the response will be. Given the sibling context of get_conversational_automation, the description should clarify the relationship and expected behavior.

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?

The input schema defines three parameters—prompts, commands, and enable_welcome_message—with zero schema description coverage. The description does not add any meaning to these parameters, leaving the agent to infer that prompts is an array of strings, commands has nested objects, and enable_welcome_message is a boolean. It fails to explain the purpose or format of each parameter, especially the structure of command objects.

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 uses the verb 'set' with the resource 'conversational automation settings', indicating the action. However, it lacks specificity about which settings are configured and does not differentiate from sibling tools beyond the obvious get/set contrast. The schema shows prompts, commands, and welcome message, but the description fails to mention them.

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 provides no guidance on when to use this tool versus alternatives. There is no mention of the sibling get_conversational_automation or any prerequisites, such as requiring an existing automation. It simply states what the tool does without usage context.

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