x402-is-smarandache
Is Smarandache: Is Smarandache
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Smarandache: Is Smarandache
| 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 tool returns a boolean, how the test value is supplied given an empty input schema, or which specific Smarandache property is evaluated. The agent has no way to predict the tool's behavior.
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?
At only 6 words, the description is short, but this is under-specification rather than conciseness. No sentence earns its place because the single sentence that exists contributes zero information.
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?
The tool has no annotations, no output schema, and no parameters, so the description alone must make it usable; instead it is a tautology. An agent cannot determine what input to provide, what the tool computes, or what output to expect, making correct invocation impossible.
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?
While the 0-parameter schema means there are no parameters to document, this is a predicate tool that necessarily requires some input to test, and the description fails to explain how invocation works. The empty schema is itself anomalous for an 'is-*' tool, and the tautological description adds no meaning beyond the schema and no clarification of the input mechanism.
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 Smarandache: Is Smarandache' is a pure tautology that merely restates the tool name. It states no verb, no resource semantics, and no definition of what a Smarandache number is. Among hundreds of sibling predicate tools (x402-is-prime, x402-is-abundant, x402-is-perfect), this description gives the agent zero ability to distinguish this tool from any other.
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?
No guidance exists about when to use this tool versus alternatives. There is no mention of when-not-to-use, no referenced sibling tools, and no context for choosing between this and the many similar 'is-*' number predicates in the sibling list.
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.