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minia2a-mcp

x402-power

Power: Convert power between watts and horsepower. Provide value in watts; returns horsepower (0.00134102 hp per watt).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral information itself. It does reveal the conversion formula and the return unit, which is helpful. But it does not explain how the value is supplied given that the input schema has zero properties, nor does it describe output formatting, precision, or behavior for invalid or missing input.

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

Conciseness4/5

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

The description is compact and front-loaded; the main action appears in the first sentence and the conversion factor in the second. The redundant 'Power:' prefix costs little, and there is no unnecessary elaboration.

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

Completeness3/5

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

The description is complete enough for a trivial one-way conversion in isolation, but it omits the reverse-conversion pointer and how the zero-parameter schema should be handled. Given the large sibling list containing very similar conversion tools, the agent still lacks enough context to reliably select and invoke this tool over x402-watts-to-horsepower.

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 input schema is empty, so the description is the only place that communicates the requirement to provide a value in watts. It adds the conversion semantics and the factor, which is useful, but it never specifies how the agent should encode or pass that value in a call, creating a real gap for invocation.

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

Purpose4/5

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

The description clearly states the action (convert power) and the specific direction (watts to horsepower), and it includes the exact conversion factor. It is immediately understandable what result the tool produces. However, it does not distinguish itself from the sibling tools x402-watts-to-horsepower and x402-horsepower-to-watts, so an agent cannot tell whether x402-power is the preferred choice.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

The description gives clear context: provide a value in watts and receive horsepower. It does not, however, state when not to use this tool or mention that x402-horsepower-to-watts exists for the reverse direction, and the phrase 'between watts and horsepower' is ambiguous since only watts-to-horsepower behavior is described.

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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