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minia2a-mcp

x402-to-roman

To Roman: Convert to roman.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

C2/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description bears the full burden of behavioral disclosure, and it offers almost nothing: no statement about input constraints, handling of invalid values, upper bounds for Roman numeral conversion, or return format. The only disclosed behavior is that conversion to Roman is performed, which the name already implies.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short but not concisely written: the 'To Roman:' prefix redundantly duplicates the tool name, and the internal blank makes it a malformed template rather than a polished sentence. Every word fails to earn its place because the key noun is missing entirely.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a conversion tool with no annotations and no output schema, the description is the only source of invocation knowledge, and it is broken: the input is unspecified, no range or edge-case constraints are given, and the return value is not described. Combined with a 0-property schema, an agent cannot reliably determine how to invoke this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although the schema has 0 parameters (trivially 100% coverage), the tool inherently requires an input to convert, and the description contains a blank ('Convert to roman') instead of naming it. Neither the schema nor the description tells the agent what should be passed, so the description fails to compensate for the missing parameter definition and actually signals an expectation it never satisfies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'To Roman: Convert to roman.' is essentially a tautology that restates the tool name, and the double space in 'Convert to roman' reveals a broken template where the input noun was never filled in. While the verb 'convert' and target 'roman' are present, the missing object makes the purpose ambiguous, and the description does nothing to distinguish this from siblings like x402-from-roman, x402-roman, or 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.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus the closely related siblings x402-from-roman, x402-roman, or x402-format-roman-num. There is also no mention of what input is required, valid ranges, or prerequisites, so an agent has no basis for selecting this tool over its alternatives.

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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TDQS

D1.6/5.0
Disambiguation1/5

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.

Naming Consistency2/5

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.

Tool Count1/5

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.

Completeness2/5

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.

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