x402-roman
Roman: Convert between Roman and Arabic numerals.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| roman | No | Roman to process |
Roman: Convert between Roman and Arabic numerals.
| Name | Required | Description | Default |
|---|---|---|---|
| roman | No | Roman to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavior, but it only says 'Convert between Roman and Arabic numerals.' It does not explain input expectations, whether the 'roman' parameter is required, whether it accepts Arabic numerals too, what the output looks like, or how errors are handled. The description carries the full burden here and does not satisfy it.
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 description is one short sentence with no filler, which is structurally clean, but it is under-specified rather than usefully concise. The brevity does not compensate for the missing behavioral and directional details.
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 converter with one optional parameter, the description needs to specify which conversion directions are supported and how to invoke them. It also needs to distinguish itself among the many related numeral tools. As written, an agent cannot reliably select or correctly call this tool without guessing.
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?
The schema description coverage is 100% for the single 'roman' parameter with description 'Roman to process', but the tool description says it converts between Roman and Arabic numerals, implying it should also accept Arabic input. The parameter name and description are misleading relative to the claimed bidirectionality, and no direction flag or format guidance is provided.
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 states a verb ('Convert') and a resource ('Roman and Arabic numerals'), so an agent can tell this tool deals with numeral conversion. However, it lacks directionality and scope detail — it does not say whether it converts from Roman to Arabic, Arabic to Roman, or both, and it does not differentiate from siblings like x402-from-roman, x402-to-roman, and x402-format-roman-num.
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 about when to use this tool versus the dedicated conversion tools such as x402-to-roman, x402-from-roman, or x402-format-roman-num. An agent must infer usage from the name alone, and the overlapping sibling names create ambiguity.
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.