x402-is-semiperfect
Is Semiperfect: Check if a number is semiperfect.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Semiperfect: Check if a number is semiperfect.
| 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 the full burden of behavioral disclosure, but it only says 'check' — it does not state the return format, define what semiperfect means, explain error or edge-case behavior, or clarify how the number is supplied. This is especially serious because the input schema declares zero parameters, leaving the agent to guess the entire invocation contract.
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 text is one short front-loaded sentence with no waste, but the 'Is Semiperfect:' prefix merely repeats the name and the remainder adds only a verb. It is under-specified rather than economically informative — an agent learns almost nothing beyond what the name already conveys.
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?
With no annotations, no output schema, and an empty input schema, an agent cannot determine how to pass the number to test, what result to expect, or how this tool differs from roughly forty sibling is-* number predicates. The single most critical fact for invoking this tool — where the input number goes — is entirely absent.
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?
There are zero parameters in the input schema, so the baseline is 4 and no parameter documentation is required. That said, the absence of any number parameter for a 'check if a number...' tool is a notable gap; the description could have stated how the number is provided, but per the rubric the schema carries no burden with 0 params.
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 'Check if a number is semiperfect' does state a clear verb and resource, so an agent understands the tool tests semiperfectness. However, it is essentially a restatement of the tool name with a verb added ('Is Semiperfect' header duplicates the name), and it offers nothing to distinguish it from dozens of sibling predicates such as x402-is-perfect, x402-is-abundant, or x402-is-deficient.
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?
The description provides no guidance on when to use this tool rather than any of the many sibling number-theory checkers (x402-is-perfect, x402-is-prime, x402-is-weird, x402-is-abundant-number, etc.). An agent choosing among these near-identical predicates receives zero routing information.
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.