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, and it reveals almost nothing. 'Number discarded' is the only behavioral hint, but it is unclear whether it means the input is ignored, the output is empty, or the conversion result is intentionally dropped. No side effects, return behavior, or processing semantics are described.

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 short, but brevity here is under-specification rather than conciseness. 'Number discarded' does not earn its place because it obscures rather than clarifies the tool's behavior.

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 tool with 10 parameters, no output schema, and no annotations, this description is completely inadequate. It does not explain the actual operation, how parameters relate to the conversion, what is returned, or why so many unrelated fields exist.

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?

Although the schema documents all 10 parameters, the description does not connect any of them to the claimed KSI-to-megapascal conversion, and there is no numeric input field. The phrase 'number discarded' actively misleads an agent trying to determine which parameter carries the value to convert, so schema coverage alone cannot compensate.

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 names a unit pair, 'KSI to megapascals', but immediately undercuts it with 'number discarded,' so it never states whether this tool actually performs a conversion. It also gives no conversion value parameter or output semantics, making the intended purpose ambiguous rather than actionable.

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 versus its siblings, such as calc-eval or validate-json. No context, exclusions, or alternative routing is provided, so an agent cannot decide between this and related tools.

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