x402-fahrenheit-to-celsius
Fahrenheit To Celsius: Convert fahrenheit to celsius.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process | |
| fahrenheit | No | Fahrenheit to process |
Fahrenheit To Celsius: Convert fahrenheit to celsius.
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process | |
| fahrenheit | No | Fahrenheit to process |
Changes observed during successful MCP inspections.
Input schema / properties / fahrenheitAdded value: +{
+ "description": "Fahrenheit 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 must carry the full behavioral burden. It does not explain input format expectations (e.g., numeric string vs number), output format, rounding behavior, or error handling, which are relevant even for a simple conversion tool.
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 a single concise sentence that is front-loaded with the operation. The leading 'Fahrenheit To Celsius:' is somewhat redundant with the rest of the sentence, but overall it is efficient and waste-free.
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?
Given the low complexity but no output schema and no annotations, the description should clarify input expectations and return format. It does not, and the presence of two seemingly redundant string parameters ('value' and 'fahrenheit') adds confusion that the description does nothing to resolve.
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 schema technically documents both parameters, setting the baseline at 3. The description adds no meaning beyond the schema, and the schema descriptions themselves are unhelpfully generic ('Value to process', 'Fahrenheit to process'), leaving ambiguity about which parameter to use.
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 (convert) and resource (fahrenheit to celsius), making the core operation clear. However, it does not explicitly differentiate this tool from its many siblings such as x402-celsius-to-fahrenheit or x402-temperature-convert, so it falls short of a 5.
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. The description merely restates the conversion with no conditions, exclusions, or references to sibling tools, leaving the agent to infer usage from the name alone.
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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