x402-is-leap-year-num
Is Leap Year Num: Is Leap Year Num
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Leap Year Num: Is Leap Year Num
| 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, but it only repeats the name. There is no mention of side effects, output format, failure modes, or what 'num' refers to. The agent is left completely in the dark about what calling this tool does.
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 short, but brevity alone is not conciseness when the content is a redundant tautology. 'Is Leap Year Num: Is Leap Year Num' wastes both phrases on the same uninformative repetition, so it does not earn its place.
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?
This tool has no annotations, no output schema, an empty input schema, and a vacuous description. Given the sibling list includes many similar is-* predicates, an agent cannot determine what to pass, what to expect back, or how this differs from alternatives. The definition is completely inadequate for correct invocation.
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, so there is nothing for the description to add about parameter semantics; per the baseline for 0-parameter tools, a 4 is appropriate. However, this score reflects only the schema's emptiness, not any useful explanation from the description, which adds no meaning about how the tool receives its year input.
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 Leap Year Num: Is Leap Year Num' is a pure tautology that merely restates the tool name without adding any verb, resource scope, or distinction from siblings. It does not clarify whether this checks a number for leap year status, what input it expects, or how it differs from closely related tools like x402-is-leap-year. This is exactly the 'restates name' failure mode.
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 any of the hundreds of sibling tools, including the nearly identical x402-is-leap-year. The description does not state any conditions, prerequisites, or alternatives, leaving the agent without any basis for selecting it.
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.