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minia2a-mcp

x402-ml-to-cups

Ml To Cups: Convert ml to cups.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

C2.4/5.0
Behavior2/5

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

No annotations exist, so the description must carry the burden of behavioral disclosure. It only restates the operation and does not mention how the tool behaves with zero input parameters, what default value it assumes, or any rounding/precision behavior. The full burden is unmet.

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 extremely short, which keeps it concise, but it essentially repeats the tool name and provides no additional structure or detail. This is closer to under-specification than effective concise communication.

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 zero-parameter conversion tool among thousands of siblings, the description lacks essential context such as input handling, unit standard, and disambiguation from related conversion tools. The schema and annotations do not compensate, so the overall definition is incomplete.

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?

The schema has zero properties and schema_description_coverage is 100% only because there are no parameters. The description does not explain how the conversion is invoked if no input is supplied, leaving a critical semantic gap around the actual input mechanism.

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 'Ml To Cups: Convert ml to cups.' states the conversion direction and units, so an agent can tell the basic purpose. However, it does not distinguish this tool from the many conversion siblings like x402-cups-to-ml, x402-metric-imperial, or x402-units-convert, and it gives no detail about the cup standard used.

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 usage guidance is provided. An agent cannot tell when to choose this tool over x402-cups-to-ml or x402-metric-imperial, nor are prerequisites or contexts described. This is especially problematic given the very large sibling list with many unit-conversion tools.

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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