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minia2a-mcp

x402-perfect-numbers

Perfect Numbers: Perfect Numbers

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?

With no annotations present, the description carries the full burden of disclosing behavioral traits, and it discloses nothing. It does not say what the tool returns, what format the result takes, or how it behaves (e.g., whether it generates numbers up to a bound or checks a candidate). Given the empty input schema and no output schema, this total absence of behavioral context is a critical gap.

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 text is only four words long, but this is under-specification, not conciseness. 'Perfect Numbers: Perfect Numbers' is a redundant heading that repeats the tool name; no part of the description conveys information or earns 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?

The tool has no annotations, no output schema, an empty input schema, and a sibling list containing many similarly named number-property tools. The description must carry the burden of explaining behavior and differentiation, and it does neither. An agent cannot determine the return value, the expected input, or how this tool differs from x402-is-perfect-number, making the definition wholly inadequate.

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 tool has zero parameters and schema description coverage is 100%, which per the rubric sets a baseline of 4. With an empty input schema there is no parameter meaning for the description to add, so the description's failure to discuss parameters is not a material loss.

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 'Perfect Numbers: Perfect Numbers' is a pure tautology that merely restates the tool's name in a heading format. It never states what the tool actually does, whether it lists perfect numbers, generates a sequence, or checks a single value. An agent learns nothing beyond what the tool name already conveys.

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 of any kind is provided. The description gives no indication of when to choose this tool over its numerous near-identical siblings such as x402-is-perfect, x402-is-perfect-number, x402-abundant-numbers, or x402-deficient-numbers. An agent has zero information to make a routing decision.

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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