x402-trapezoid-area
Trapezoid Area: Area of trapezoid.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| base1 | No | Base1 to process | |
| base2 | No | Base2 to process | |
| height | No | Height to process |
Trapezoid Area: Area of trapezoid.
| Name | Required | Description | Default |
|---|---|---|---|
| base1 | No | Base1 to process | |
| base2 | No | Base2 to process | |
| height | No | Height to process |
Changes observed during successful MCP inspections.
Input schema / properties / base1Added value: +{
+ "description": "Base1 to process",
+ "type": "string"
+}Input schema / properties / base2Added value: +{
+ "description": "Base2 to process",
+ "type": "string"
+}Input schema / properties / heightAdded value: +{
+ "description": "Height 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 states only the abstract purpose and does not disclose the computation formula, output type, units, rounding behavior, or whether the operation is read-only. This is a significant gap, though the implied computation gives some minimal context beyond a completely empty description.
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 extremely short and front-loaded, but it is under-specified rather than concise. It spends words restating the tool name and omits the minimal useful information an agent would need.
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?
There is no output schema and no annotations, so the description should compensate by explaining the computation and return value. It fails to provide the trapezoid area formula, units, or output format, leaving the agent to infer everything from the tool name and parameter names.
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 baseline is 3 per the rubric. However, the schema descriptions ("Base1 to process", etc.) are not semantically rich, and the tool description adds no additional meaning about what base1, base2, or height represent or how they are combined.
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 "Trapezoid Area: Area of trapezoid" is essentially a tautological restatement of the tool name. It identifies the resource (trapezoid area) but provides no verb, formula, or scope detail that distinguishes it meaningfully from siblings like x402-trapezoid-perimeter or x402-trapezoidal-rule.
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?
No guidance is given about when to use this tool versus alternatives such as x402-trapezoid-perimeter, x402-area, or x402-trapezoidal-rule. The description offers no context, exclusions, or routing hints.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.