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 behavioral disclosure. It only mentions a conversion and a vague 'number discarded' note, without explaining side effects, return behavior, why 9 unrelated parameters are accepted, or what exactly is discarded.

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 it is under-specified rather than concise. It omits essential information about parameters and behavior, so the brevity does not serve the agent's decision-making.

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 9 optional parameters, no annotations, and no output schema, a single phrase is vastly insufficient. The definition does not explain what to provide, what to expect in return, or how the tool relates to the large set of sibling tools.

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 descriptions cover all 9 parameters, none of them represent a meter value, and the description adds no linkage between the stated purpose and any parameter. An agent cannot determine which parameter, if any, drives the conversion.

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 states a specific conversion ('Meters to feet'), which is a clear verb and resource, but it does not match the input schema: none of the 9 parameters accept a numeric meter value. This misalignment leaves the tool's actual purpose ambiguous and does not distinguish it from calc-eval for unit conversions.

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 like calc-eval, and no mention of how to supply the meters value. The cryptic phrase 'number discarded' provides no usable context for selection or invocation.

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