x402-simpsons-rule
Simpsons Rule: Simpsons Rule
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| a | No | A to process | |
| b | No | B to process | |
| n | No | N to process | |
| fn | No | Fn to process |
Simpsons Rule: Simpsons Rule
| Name | Required | Description | Default |
|---|---|---|---|
| a | No | A to process | |
| b | No | B to process | |
| n | No | N to process | |
| fn | No | Fn 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 / fnAdded value: +{
+ "description": "Fn to process",
+ "type": "string"
+}Input schema / properties / nAdded value: +{
+ "description": "N 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 burden of behavioral disclosure. It says nothing about what the tool computes, what it returns, whether it evaluates a function symbolically or numerically, or any limits — a complete absence of behavioral context for a computational 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?
It is very short, but short in the sense of under-specification rather than conciseness; the single line is a redundant repetition of the name and carries no front-loaded information.
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 annotations, no output schema, four meaningless parameter descriptions, and a tautological body, the definition is nowhere near complete enough for an agent to invoke a numerical-integration tool 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 coverage is nominally 100%, but the parameter descriptions are degenerate placeholders ('A to process', 'B to process', 'N to process', 'Fn to process') that add no semantics. The description contributes nothing to clarify that a/b are interval bounds, n the subinterval count, and fn the integrand, so the mathematically meaningful parameter roles remain undocumented.
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 is a pure tautology: 'Simpsons Rule: Simpsons Rule' merely restates the tool name. While a knowledgeable agent may recognize Simpson's rule as a numerical integration method, the definition provides no verb, no scope, and no differentiation from the sibling trapezoidal-rule tool.
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 mention of alternatives (e.g. x402-trapezoidal-rule), and no stated preconditions. The agent is given nothing to route on.
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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