x402-cylinder-lateral-surface
Cylinder Lateral Surface: Surface area of cylinder lateral.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| height | No | Height to process | |
| radius | No | Radius to process |
Cylinder Lateral Surface: Surface area of cylinder lateral.
| Name | Required | Description | Default |
|---|---|---|---|
| height | No | Height to process | |
| radius | No | Radius to process |
Changes observed during successful MCP inspections.
Input schema / properties / heightAdded value: +{
+ "description": "Height to process",
+ "type": "string"
+}Input schema / properties / radiusAdded value: +{
+ "description": "Radius 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 behavioral burden. It says nothing about determinism, units, expected input format, or the output value — only the quantity being computed. For a pure math function the risk is low, but the description still discloses no behavioral traits at all.
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?
It is a single short sentence with no padding, but it is redundant: the title text and the sentence say the same thing. There is no wasted verbiage, yet also no front-loaded value beyond the name.
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 two-parameter geometric formula with 100% schema coverage and no output schema, the description is minimally sufficient to identify the computation. However, given the enormous sibling set with near-identical geometry tools (unit conversions, cylinder/cone/sphere variants), some disambiguation or output/unit context would materially help an agent choose and call it correctly.
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% (both 'height' and 'radius' are documented, albeit tersely as 'to process'), so the baseline is 3. The description adds no additional meaning about the parameters — it does not clarify units, expected numeric ranges, or that the string-typed parameters must be numeric.
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 essentially restates the tool name: 'Cylinder Lateral Surface' → 'Surface area of cylinder lateral.' It does convey the operation (lateral surface area of a cylinder), but it is a tautology of the name rather than an independent specification, and it makes no attempt to distinguish this from the sibling x402-cylinder-surface (total surface area) or x402-cylinder-volume.
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 x402-cylinder-surface, x402-cylinder-volume, or any other geometry sibling. No prerequisites, no exclusions, no context — nothing beyond the bare formula statement.
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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