get_optimal_blower_angle

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

No annotations are provided, so the description must disclose behavioral traits. It mentions 'controlling' and 'deriving optimal operating point', but it is unclear whether this tool actually actuates the blower or just computes. It lacks information on side effects, permissions, or safe usage.

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 two-sentence description is reasonably concise and front-loaded with the purpose. However, it contains some redundancy and could be more streamlined.

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 has one parameter and an output schema exists but is not described in the text, the description does not explain the return value or the nature of the 'optimal operating point'. It also fails to clarify whether this tool is purely computational or performs a control action.

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 description adds meaning to the sole parameter 'required_flow' by stating it is the flow rate of the blower. However, it does not specify units or acceptable ranges. With 0% schema coverage, the description provides essential context but is not fully comprehensive.

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's purpose: it controls the blower blade angle optimally based on required flow. The sibling tool 'get_optimal_pump_control' is for pumps, providing implicit differentiation, but the description does not explicitly distinguish 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 a usage context: call when user inputs flow rate and wants the optimal operating point. However, it does not specify when not to use this tool or mention alternatives, such as the pump control tool.

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