x402-is-twin-prime-pair
Is Twin Prime Pair: Is Twin Prime Pair
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Twin Prime Pair: Is Twin Prime Pair
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full responsibility for disclosing behavior. It merely repeats the tool name and provides zero information about inputs, outputs, mutation safety, error conditions, or side effects. An agent cannot infer what happens when the tool is called.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but it is under-specified rather than concise. Repeating the tool name as both halves of the description adds no value and wastes the opportunity to communicate any useful information. A description of this size is fine only if every word earns its place; here none do.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and no parameter schema, the description is the only source of behavioral context, and it provides none. The name hints at a mathematical predicate about twin prime pairs, but an agent cannot determine what inputs are expected, what results look like, or how this differs from similar sibling tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has no properties (0 parameters), so there is nothing the description needs to explain about parameter semantics. According to the rubric, 0 params = baseline 4; however, the lack of any explanation of how the tool receives its inputs (e.g., via prompt or context) leaves a minor gap, so a slightly cautious 3 is warranted.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Is Twin Prime Pair: Is Twin Prime Pair' is essentially a tautology that restates the tool name with no additional information. It does not state a verb-resource relationship, explain what a twin prime pair is, or clarify what action the tool performs. Among siblings like is-twin-prime and is-coprime-pair, the description offers no differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description does not mention related tools such as x402-is-twin-prime or x402-is-coprime-pair, nor does it state any conditions, prerequisites, or context for invoking the tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.