x402-hailstone-max
Hailstone Max: Maximum of hailstone.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| value | No | Value to process |
Hailstone Max: Maximum of hailstone.
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| value | No | Value to process |
Changes observed during successful MCP inspections.
Input schema / properties / nAdded value: +{
+ "description": "N to process",
+ "type": "string"
+}Input schema / properties / valueAdded value: +{
+ "description": "Value 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 it discloses nothing: not whether it is a pure computation, what it returns, how large inputs are handled, or what the difference between the two parameters is. About all an agent can infer is that it is a mathematical operation.
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 a single short, front-loaded sentence with no filler, which is structurally fine. However, that brevity comes at the cost of content, since the one sentence conveys almost no actionable 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, and ambiguous parameter definitions, the description should explain the input types, the relationship between the two parameters, and the returned value. None of that is present, leaving the definition under-specified for correct invocation.
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 both parameter descriptions are placeholders ('N to process', 'Value to process') on two string parameters for what is clearly a numeric computation. The description does not clarify which parameter supplies the integer or why two are present, so the schema's ambiguity is left unresolved.
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 'Hailstone Max: Maximum of hailstone' essentially restates the tool name rather than stating a specific action on a specific input. It does not distinguish this tool from siblings like x402-hailstone-length or x402-collatz, and an agent cannot tell whether it returns the peak value of a Collatz trajectory, the max of two inputs, or the max of a sequence.
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 indication of when to use this tool versus x402-hailstone-length, x402-collatz, or x402-collatz-sequence, nor any prerequisite or input-format guidance. The agent is left to infer usage entirely from the name.
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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