x402-hailstone-length
Hailstone Length: Length of hailstone.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| value | No | Value to process |
Hailstone Length: Length 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 entire behavioral burden, and it discloses nothing: not the input domain (positive integers?), not behavior for n<=0, and not whether the result is a count or a sequence. For a bare numeric utility with zero annotation coverage this is a total omission.
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?
One fragment with zero waste, but it is under-specified rather than concise — the brevity comes from saying nothing, not from disciplined editing. There is no front-loaded statement of what is computed or returned.
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, ambiguous input typing (strings for an arithmetic function), and no explanation of the Collatz/hailstone concept, the description leaves an agent unable to call this correctly. It is only marginally better than an empty description because the term 'hailstone' is at least recognizable.
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 schema descriptions are content-free placeholders ('N to process', 'Value to process'), which is the baseline-3 case in name only. The description adds nothing, and critically does not resolve why a unary hailstone-length function exposes two separate string inputs (n vs. value) or which one an agent should populate.
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 restates the tool name: 'Hailstone Length: Length of hailstone.' It identifies no verb and no domain concept beyond the name itself, so an agent learns nothing it could not infer from the identifier. It does not distinguish this from siblings like x402-hailstone-max, x402-collatz, or x402-collatz-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 when-to-use guidance, no prerequisites, and no naming of the obvious alternatives in the sibling list (x402-hailstone-max, x402-collatz, x402-collatz-sequence). An agent must guess whether this computes the full Collatz sequence, the stopping time, or the max value.
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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