x402-watt-to-kilowatt
Watt To Kilowatt: Convert watt to kilowatt.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process |
Watt To Kilowatt: Convert watt to kilowatt.
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process |
Changes observed during successful MCP inspections.
Input schema / properties / valueAdded value: +{
+ "description": "Value to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full disclosure burden. It says nothing about whether the input must be numeric, how non-numeric or negative values are handled, or the result's precision/units — all real questions for a conversion function.
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?
One short, front-loaded sentence with no wasted words. It is slightly redundant in restating the name/title verbatim, which keeps it from a 5.
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 trivial one-parameter converter with full schema coverage and no output schema, the description is minimally sufficient — the agent can call it correctly. It is missing unit-expectation context and disambiguation from the inverse tool, but nothing critical blocks correct invocation.
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%, so the single 'value' parameter is technically documented, and the rubric sets a baseline of 3 in that case. The description adds no meaning beyond the schema (it does not even state that the value is in watts), so it sits at the baseline rather than above it.
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 verb and resource ('Convert watt to kilowatt'), so the operation is unambiguous. However, it does not differentiate itself from the inverse sibling x402-kilowatt-to-watt, which an agent could easily confuse in a list of ~900 tools.
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 versus the inverse tool, nor any mention of input units/format expectations. Usage is only implied by the name and description, and the presence of a near-identical sibling makes explicit routing guidance the most valuable thing this description could add.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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