x402-scientific-notation
Scientific Notation: Converts a decimal number to mantissa, base-10 exponent and an e-notation string, treating zero as 0e0 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| value | No |
Scientific Notation: Converts a decimal number to mantissa, base-10 exponent and an e-notation string, treating zero as 0e0 🆓 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 burden. It usefully discloses the zero edge case and the billing/auth trait ('5 free trial calls per signed wallet'), but says nothing about input validation, error handling, or precision limits (e.g. very large/small numbers). Partial disclosure of a mutation-free but numerically sensitive 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?
One front-loaded sentence followed by a short pricing note; the core operation and output are stated before any incidental information. Only minor waste from the emoji/trial-call suffix, which is not about tool selection.
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 simple single-parameter conversion with no output schema, the description names all three returned components (mantissa, exponent, e-notation string), which is what an agent needs to consume the result. Input format ambiguity for the string-typed parameter is the only real gap.
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 string with no explanation. The description partially compensates by clarifying the expected input is a decimal number, but does not state accepted formats (e.g. scientific input, negatives, precision) leaving the string-typed param ambiguous.
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 ('Converts a decimal number to mantissa, base-10 exponent and an e-notation string') and even names the output shape, so an agent knows exactly what it produces. It does not distinguish itself from close siblings like x402-format-scientific or x402-engineering-notation, which overlap heavily, so it falls short of a 5.
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 guidance on when to prefer this over x402-engineering-notation or x402-format-scientific, no prerequisites, and no exclusions. The only conditional statement ('treating zero as 0e0') is an edge-case behavior, not selection guidance, leaving the agent to infer usage.
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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