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 behavior disclosure. It reveals nothing about side effects, return values, failure modes, or even the conceptual computation performed.

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 very short, but brevity here is under-specification rather than true conciseness. It consists of a label and a redundant phrase and conveys almost no operational 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?

With no output schema, no annotations, and no parameter context, the description must explain what the tool returns and how it behaves. 'Efficiency calculation' is not enough for an agent to predict the tool's behavior or use it with confidence.

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 has zero parameters, so with 0 params the baseline is 4. The description does not need to document parameter meaning because there are no parameters to document.

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 'Efficiency: Efficiency calculation.' basically restates the tool name without adding substance. It does not state what kind of efficiency, what input it operations on, or what output is produced, and it does not distinguish this tool from the hundreds of sibling calculation utilities.

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 about when to use this tool instead of another. The sibling list is large and includes many statistical, financial, and performance-related utilities, but the description offers no selection criteria or exclusions.

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