x402-is-lucas-prime
Is Lucas Prime: Is Lucas Prime
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Lucas Prime: Is Lucas Prime
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure, and it discloses nothing. It does not state whether the check is pure, what it returns, whether it might take hidden arguments, or any side effects. The text is entirely empty of behavioral content.
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 under-specified rather than concise. It contains only a repeated phrase that earns no informational value, and it lacks any structure, front-loading, or explanatory content.
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?
A predicate named 'is-lucas-prime' with zero parameters, no output schema, no annotations, and a tautological description is wholly inadequate for an agent to invoke correctly. The agent cannot know what value to provide, what the return type is, or what constitutes a Lucas prime in this context.
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 schema has zero parameters, so there are no parameter semantics for the description to clarify, and the 100% schema coverage means the schema already documents this trivially. The baseline of 4 applies here, though the lack of any mention of how a number is supplied to the predicate is concerning and is captured under other dimensions.
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 Lucas Prime: Is Lucas Prime' is a pure tautology—it simply repeats the tool name twice with no verb, resource, or explanation of what the tool actually does. An agent cannot determine from this text what a Lucas prime check is or what input it operates on.
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 about when to use this tool, what problem it solves, or how it relates to the many siblings like x402-is-prime or x402-lucas-number. The definition provides no context for selection among alternatives.
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.