x402-round-to
Round To: Convert round to .
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process | |
| decimals | No | Decimals to process |
Round To: Convert round to .
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process | |
| decimals | No | Decimals to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden of behavioral disclosure, and it discloses nothing. It does not state the rounding mode, whether decimals is the number of decimal places, the return format, or the accepted input domain. None of the tool's runtime behavior is conveyed.
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 text is short but not concise — it is malformed placeholder content ('Convert round to .') with a dangling target and a label that repeats the tool name. These word fragments do not earn their place; they actively mislead. Parenthetical-style template remnants should have been filled in or removed.
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 two parameters, the description was the only place to convey input expectations, rounding behavior, and return values — and it conveys none of them. For a tool that presumably rounds a numeric value to a given precision, the definition is completely inadequate for an agent to call it correctly.
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?
While schema description coverage is 100%, both parameter descriptions are generic boilerplate ('Value to process', 'Decimals to process') that provide no real semantics. The description adds nothing beyond this — it never explains that value is a number to be rounded and decimals is the target precision. The string-typed schema for both params compounds the confusion, and neither the schema nor the description resolves it.
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 is a broken template: 'Round To: Convert round to .' contains unfilled placeholders, so it never states what value is rounded to what. It merely restates the tool name ('Round To') and trails off with an empty target. It does not distinguish this from highly similar siblings like x402-round-to-nearest, x402-truncate-decimal, or x402-to-fixed.
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 usage guidance is provided. The description contains no context about when to invoke this tool versus any of the thousands of sibling tools, including closely related rounding/formatting tools. An agent has no way to know whether this is the right choice for a rounding task or when an alternative would be preferable.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.
Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.
1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.
The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.