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minia2a-mcp

x402-yards-to-meters

Yards To Meters: Convert yards to meters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

C2.3/5.0
Behavior1/5

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

With no annotations provided, the description carries the full disclosure burden, and it discloses almost nothing beyond the conversion itself. Critically, the input schema has zero properties but a conversion necessarily requires a value to convert, and the description never explains how the yards value is supplied, what the return format is, or how results are rounded. This is a severe transparency gap.

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

Conciseness3/5

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

The description is short and readable, which is appropriate for a simple conversion tool. But the 'Yards To Meters:' prefix duplicates the tool name rather than adding structure, and the brevity buys nothing because the one essential fact (how to pass the yards value) is missing.

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 simple conversion tool the completeness bar is low, but this definition still fails: there is no output schema, no annotations, an empty input schema, and no explanation of the invocation mechanism. An agent cannot correctly call this tool from the definition alone because it cannot determine what input to provide.

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

Parameters3/5

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

The schema has 0 parameters, so the 0-param baseline of 4 applies in principle, and the description adds nothing about parameters. However, the tool logically requires an input value, and neither the schema nor the description indicates how it is provided, leaving an unresolved invocation gap that the description should have compensated for.

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

Purpose3/5

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

The description states a specific operation ('Convert yards to meters'), so an agent knows the conversion direction. However, it essentially restates the tool name x402-yards-to-meters, and the 'Yards To Meters:' prefix is a title-like echo that adds nothing. It also doesn't distinguish itself from generic converters like x402-units-convert or the reverse-direction x402-meters-to-yards.

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 about when to choose this tool over alternatives such as x402-units-convert, x402-metric-imperial, or x402-meters-to-yards. The only usage signal is the implied one from the operation name itself, and no exclusions or conditions are provided.

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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