x402-celsius-to-fahrenheit
Celsius To Fahrenheit: Convert Celsius to Fahrenheit.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process | |
| celsius | No | Celsius to process |
Celsius To Fahrenheit: Convert Celsius to Fahrenheit.
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process | |
| celsius | No | Celsius to process |
Changes observed during successful MCP inspections.
Input schema / properties / celsiusAdded value: +{
+ "description": "Celsius to process",
+ "type": "string"
+}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 burden, and it discloses nothing behavioral: not whether input is numeric or string, not rounding/precision behavior, not error handling for non-numeric input, not the return shape. It is a pure restatement of the conversion.
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?
Very short and front-loaded, with no wasted clauses. Brevity here is genuine, though it comes at the cost of any substantive content.
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 no annotations, no output schema, and two ambiguous, non-informative parameters, the description should at minimum clarify accepted input format and precision. As written, an agent has to guess about input handling and which parameter to supply.
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 schema nominally has 100% description coverage, but the two parameter descriptions are vacuous ('Value to process', 'Celsius to process'), leaving it unclear which of the two overlapping parameters should actually be used. The tool description does nothing to resolve this ambiguity, so it fails to compensate for effectively undocumented parameters.
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 concrete verb+resource pair ('Convert Celsius to Fahrenheit'), so the operation is unambiguous. However, 'Celsius To Fahrenheit: Convert Celsius to Fahrenheit' is essentially the name restated, with no differentiation from nearby siblings such as x402-fahrenheit-to-celsius, x402-temperature-convert, or x402-temp.
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?
Nothing states when to use this tool rather than the inverse converter or the general temperature-convert/temp tools. Usage is only inferable from the name, and no input format or prerequisites are mentioned.
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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