x402-cylinder-volume
Cylinder Volume: Volume of cylinder.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| height | No | Height to process | |
| radius | No | Radius to process |
Cylinder Volume: Volume of cylinder.
| 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 transparency burden. It states only that volume is computed, without disclosing units, precision, output format, error handling, or edge-case behavior for invalid/zero dimensions.
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 very short and front-loaded, but the second phrase redundantly restates the first. Brevity here reflects under-specification rather than efficient communication.
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 two-parameter calculation tool with no output schema and no annotations, the description should at least convey the formula, units, or expected return. It provides none of these, leaving the agent to infer basic behavior.
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 input schema already documents both parameters. The description adds no meaning beyond the schema, which is the expected baseline when structured fields do the heavy lifting.
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?
"Cylinder Volume: Volume of cylinder" essentially restates the tool name rather than stating a specific action or formula. It does identify the resource (cylinder volume), but adds no verb or distinguishing detail versus siblings like x402-cylinder-surface or x402-cylinder-lateral-surface.
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, what inputs are required, or which sibling tool handles related calculations. The description offers no alternatives or exclusions, leaving usage entirely to inference.
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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