x402-is-pronic
Is Pronic: Checks whether value equals n*(n+1) for some integer n using floor(sqrt(value)) 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| value | No |
Is Pronic: Checks whether value equals n*(n+1) for some integer n using floor(sqrt(value)) 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| value | No |
Changes observed during successful MCP inspections.
Input schema / properties / value / descriptionRemoved value: -"Value to process"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It does disclose the actual algorithm (floor(sqrt(value))) and the free-trial quota per signed wallet, which is useful. But it omits the return shape (presumably a boolean), how non-integer/negative/huge string inputs are handled, and whether errors are raised.
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?
Single front-loaded sentence with the definition and algorithm, followed by a short pricing tagline. No filler or repetition, though the emoji/trial blurb is tangential to the tool's function.
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 must stand alone. It covers the mathematical meaning and method but leaves the return value, input format, and edge-case behavior undefined, which is a meaningful gap for a classifier tool.
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 0% and the single 'value' parameter is typed as a string with no constraints. The description names the concept but adds no format detail (integer string? decimal? negative?) or validation behavior, so it fails to compensate for the schema gap.
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?
States a specific predicate and defines it precisely as 'value equals n*(n+1) for some integer n', which is far clearer than a bare name restatement. However, it does not distinguish itself from the near-duplicate sibling 'x402-is-pronic-number', so an agent cannot tell the two apart from the description alone.
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 on when to use this versus the many other number-classification siblings (x402-is-pronic-number, x402-is-triangular, etc.), and no prerequisites or exclusions. The only eligibility note is the pricing/trial line, which is unrelated to invocation context.
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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