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minia2a-mcp

x402-number-trivia

Number Trivia: Number Trivia

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoN to process

TDQS

D1.7/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden. It reveals nothing about behavior: does it return a random fact? A static fact for a given n? Does 'N to process' imply a lookup? Does it make a network request? There is no mention of return values, randomness, external API dependency, or side effects. The description adds zero behavioral information.

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 extremely short, which is superficially concise, but it lacks substance. The phrase 'Number Trivia: Number Trivia' is redundant and unhelpful, and it does not earn its place. There is no front-loaded kernel of useful information.

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?

Given no annotations, no output schema, and a naming pattern shared by thousands of sibling tools, the description fails to provide the basic information an agent needs: what the tool does, what the parameter should contain, what the result looks like, and when this tool is preferable to alternatives. This is a completely inadequate definition for a tool with one parameter and no other structured context.

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 100% coverage for the single parameter 'n' with description 'N to process', and it is optional (required: 0). The description adds no meaning beyond the schema. The description 'Number Trivia: Number Trivia' does not clarify what 'process' means, expected value format (integer? string?), or what happens when n is omitted. With zero additional semantic information about the parameter, the agent cannot confidently supply a meaningful value.

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

Purpose2/5

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

The description 'Number Trivia: Number Trivia' is a tautology that restates the tool name. It does not state what the tool does, how it behaves, or what kind of trivia is returned. The sibling tools list contains similar trivia/fact tools (random-fact, date-trivia), increasing ambiguity.

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 guidance is provided on when to use this tool versus other trivia or number-related tools. With hundreds of sibling tools, an agent cannot determine whether to call this for a number fact, random trivia, or specific number property. Even the presence of the output schema provides no context because the return format is undocumented.

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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