x402-lucas-number
Lucas Number: Lucas Number
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Lucas Number: Lucas Number
| 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 what the tool returns, whether it produces a single value or a sequence, whether computation is deterministic, or any edge-case behavior. The text is completely 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 not concise but under-specified; it is a redundant echo of the tool name ('Lucas Number: Lucas Number') where the second half adds nothing to the first. No sentence earns its place because the only 'sentence' carries no information whatsoever.
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 an empty input schema, the description is the sole source of information, and it is completely inadequate. An agent has no idea what input it needs, what output to expect, or how the result is computed. Even the tool's relationship to the Lucas sequence family is left unstated.
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 zero parameters and is fully covered by the empty properties object, so the description has no parameter semantics it must add. With 0 params, the baseline is 4; nothing in the schema is left undocumented, and the description does not mislead about inputs.
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 'Lucas Number: Lucas Number' is a pure tautology that merely restates the tool name in both the label and body. It contains no verb, no statement of what operation is performed, and no differentiation from the closely related siblings x402-lucas-index, x402-lucas-series, and x402-is-lucas-prime. An agent cannot determine whether this tool computes a specific Lucas value, validates a Lucas property, or returns a constant.
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 zero guidance on when to invoke this tool versus its numeric-sequence siblings. No context, conditions, or alternatives are mentioned anywhere in the description.
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.