x402-ellipsoid-volume
Ellipsoid Volume: Volume of ellipsoid.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| a | No | A to process | |
| b | No | B to process | |
| c | No | C to process |
Ellipsoid Volume: Volume of ellipsoid.
| Name | Required | Description | Default |
|---|---|---|---|
| a | No | A to process | |
| b | No | B to process | |
| c | No | C to process |
Changes observed during successful MCP inspections.
Input schema / properties / aAdded value: +{
+ "description": "A to process",
+ "type": "string"
+}Input schema / properties / bAdded value: +{
+ "description": "B to process",
+ "type": "string"
+}Input schema / properties / cAdded value: +{
+ "description": "C 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 and discloses almost nothing. It does not state the formula, whether inputs are semi-axes or full axes, what units are assumed, or what the return value looks like. For a numeric computation tool this leaves meaningful ambiguity about what result will come back.
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 very short and front-loaded, which is appropriate, but the two clauses are redundant ('Ellipsoid Volume: Volume of ellipsoid'), so the single sentence does not fully earn its place. Brevity here reflects under-specification rather than disciplined editing.
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?
With no output schema, no annotations, and three semantically undocumented parameters, the description is not complete enough for an agent to invoke the tool confidently. At minimum it should define the axes and the expected numeric output.
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% field-description coverage, but the descriptions are placeholders ('A to process', 'B to process', 'C to process') that convey zero semantics. The tool description does not compensate by explaining that a, b, and c are the three semi-axes, so the agent cannot tell whether they are radii, diameters, or something else.
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 names the specific resource ('Volume of ellipsoid'), which distinguishes it from geometric siblings like x402-sphere-volume or x402-cone-volume. However, it largely restates the tool name and title rather than adding a verb or scope detail, so it is only minimally more informative than the identifier itself.
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 when-to-use guidance, no statement of prerequisites (e.g. positive dimensions), and no reference to alternatives such as sphere-volume or prism-volume. The agent is left to infer the entire usage context 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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