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minia2a-mcp

x402-word-density

Word Density: Density of word.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

D1.8/5.0
Behavior1/5

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

There are no annotations, and the description carries the full burden of behavioral disclosure. It does not state what input the tool expects, what calculation is performed, what output is returned, whether it is read-only, or whether it depends on external state. The phrase 'density of word' adds no behavioral information beyond the tool name.

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 definition is extremely short, but this is under-specification rather than deliberate conciseness. 'Density of word.' merely repeats the title and adds no independently useful content, so the wording does not earn its place.

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?

With no annotations, no output schema, no parameters, and a vacuous description, an agent has no way to know what this tool computes, what input it uses, or what response to expect. The presence of many similar text-analysis siblings makes the missing context especially costly.

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

Parameters4/5

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

The input schema has zero parameters and 100% schema description coverage. Because there are no parameters to document, the baseline for parameter semantics is 4; the description does not need to add parameter detail, though it also does not explain how any implicit text input is supplied.

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 'Word Density: Density of word.' is a tautology that restates the tool name without defining what 'word density' means or how it is computed. It gives no concrete verb, resource, or measure, and does not distinguish this tool from ambiguous siblings like x402-density, x402-keyword-density, or x402-word-frequency.

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 or alternatives are mentioned. An agent cannot tell when to choose x402-word-density over closely related tools such as x402-keyword-density, x402-lexical-diversity, or x402-type-token-ratio, and no exclusions or preconditions 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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