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

With no annotations supplied, the explicit "(cost: 1 credit)" disclosure is valuable behavioral context beyond the schema. However, the description does not address precision or rounding, handling of invalid or incompatible units, or how the converted result is represented.

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 front-loads the operation and supported scope, then states the cost in a compact parenthetical. The category list is substantive rather than filler, and there is no unnecessary wording.

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 simple three-parameter conversion utility, the scope and cost are sufficient for basic tool selection. Given the generic string parameters and absence of unit enums, annotations, or an output schema, concrete invocation examples and brief error, precision, and result-format details would meaningfully reduce uncertainty.

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?

Schema description coverage is 100%, establishing a baseline of 3, although those descriptions are minimal. The unit-category list adds some meaning to from and to, but the description provides no accepted unit names or symbol examples and does not explain string values or incompatible unit pairs.

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 verb "Convert" and the enumerated categories clearly state the operation and its scope, including the useful distinction between UK and US volume units. It does not explicitly differentiate itself from related siblings such as convert_time, calculate, or fx_rates.

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 supported-category list provides implicit guidance about when this tool is appropriate. There is no when-not guidance, alternative-tool routing, or clarification of boundary cases such as currency and time-related conversions.

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