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minia2a-mcp

x402-is-prime-pair

Is Prime Pair: Is Prime Pair

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

D1.3/5.0
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, but it discloses nothing — no side effects, no input constraints, no return format, no error behavior. With an empty schema and a tautological description, the agent has no idea what invoking this tool does or what it is expected to receive.

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?

At five words it is undeniably short, but this is under-specification rather than conciseness — the 'X: X' format reads like a template where the title was copy-pasted into the body. Every word is wasted repetition; no sentence earns its place by informing the agent.

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 a tool among a massive catalog of mathematically similar predicates, with no parameter schema, no annotations, and no output schema, this description is completely inadequate. An agent cannot determine inputs, expected outputs, or distinguishing behavior under any circumstance.

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 zero parameters with 100% coverage, which would normally yield a baseline of 4, but a predicate named 'is-prime-pair' logically requires two numeric inputs and the description offers no explanation of how they are supplied. The description adds no semantic value and leaves a critical ambiguity: how does the agent provide the values to test?

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 Prime Pair: Is Prime Pair' is a pure tautology — it repeats the tool name verbatim and provides no verb, resource, or behavioral detail. It does not explain what constitutes a 'prime pair,' what the tool computes, or how it differs from siblings like x402-is-twin-prime-pair or x402-is-coprime-pair.

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?

There is zero guidance on when to use this tool versus the hundreds of siblings, including closely related predicates like x402-is-prime, x402-is-twin-prime-pair, and x402-is-semi-prime. An agent cannot determine the conditions that would select this tool over any alternative.

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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