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minia2a-mcp

x402-engineering-notation

Engineering Notation: Engineering Notation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueNoValue to process

TDQS

D1.3/5.0
Behavior1/5

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

With no annotations provided, the description carries the full burden of explaining behavior, but it says nothing about what the tool does, whether it mutates input, what format it expects, what output it returns, or any error conditions. The tautological text is completely uninformative about behavioral traits.

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 this is under-specification rather than conciseness. The single sentence 'Engineering Notation: Engineering Notation' does not earn its place — it is redundant and delivers zero useful information. There is no structure, no front-loaded content, and no explanation to justify its minimal length.

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

Completeness1/5

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

For even a single-parameter tool, the description is severely incomplete. It does not explain what engineering notation is, what form the input 'value' should take, what transformation is applied, or what return format the agent should expect. With no output schema and no annotations, this description leaves the agent completely in the dark.

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?

Though schema description coverage is 100%, the parameter description 'Value to process' is a generic placeholder that adds no real semantics — it merely restates the parameter name. The tool description also fails to clarify what 'value' should be (number as string? numeric string? exponent format?), so an agent cannot determine the expected input. This falls below the baseline because the schema description is functionally vacuous.

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

Purpose1/5

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

The description is 'Engineering Notation: Engineering Notation' — a pure tautology that restates the tool name without adding any verb, resource, or differentiator. It provides no information about what the tool actually does, and the sibling list (scientific-notation, format-scientific, etc.) suggests multiple similar tools exist, so an agent cannot distinguish this one from them.

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

Usage Guidelines1/5

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

No guidance is given for when to use this tool, what input conditions apply, or how it relates to alternatives. The description contains no exclusions, prerequisites, or context cues whatsoever, leaving an agent with no basis for selecting this tool over the many similar formatting/conversion siblings.

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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