x402-significant-digits
Significant Digits: Rounds a number to a requested number of significant digits 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | ||
| digits | No |
Significant Digits: Rounds a number to a requested number of significant digits 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | ||
| digits | No |
Changes observed during successful MCP inspections.
Input schema / properties / digits / descriptionRemoved value: -"Digits to process"Input schema / properties / value / descriptionRemoved value: -"Value to process"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations, so the description carries the behavioral burden. It does disclose the monetization model ('5 free trial calls per signed wallet'), which is genuinely useful for a paid x402 tool and not available in the schema. However it says nothing about error behavior, input format expectations (both params are strings), or what happens on invalid input.
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 core sentence is short and front-loaded, which is good. The trailing emoji and promotional trial-call text is noise for a tool-selection decision, though it does carry some pricing signal.
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?
For a tool with no annotations, no output schema, and 0% parameter description coverage, the definition is thin. It omits expected input formats, return value shape, and rounding-mode behavior (half-up vs. half-even), any of which could matter to a caller.
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%, so the description must compensate. It maps the two params loosely (value = the number, digits = the requested significant-digit count), which is helpful, but both are typed as strings with no format, range, or example guidance, and the description never addresses that typing.
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 verb and resource: 'Rounds a number to a requested number of significant digits.' An agent knows the operation. It does not, however, distinguish itself from near-identical siblings such as x402-sig-figs, x402-format-significant, x402-number-precision, and x402-round-to, so an agent cannot tell why it should pick this one.
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 when-to-use, when-not-to-use, or alternative-tool guidance at all. With at least four sibling tools covering the same rounding territory, the absence of any disambiguation is a real selection hazard.
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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