x402-is-smith-number
Is Smith Number: Is Smith Number
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Smith Number: Is Smith Number
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations present, the description carries the full behavioral burden, and it discloses nothing: no input requirements, no return type, no side-effect profile, no definition of the mathematical property being tested. It also fails to explain how input is supplied at all, since the input schema is empty.
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 not concise — it repeats the identical phrase twice ('Is Smith Number: Is Smith Number'), which is redundant padding rather than economical prose. Every token is wasted on repetition instead of conveying 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?
For a number-theory predicate with no annotations, no output schema, and an empty input schema, the description should explain the Smith number definition, how input reaches the tool, and what the return value means. It explains none of these, leaving the agent unable to call or interpret the tool. Completely inadequate.
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?
Though the schema has 0 parametrs (baseline 4), a predicate named 'is-smith-number' logically requires a number to test, and the description does not clarrify how that input is provided given the emtpy schema. The description adds no meaning about acceptable inputs, constraints, or formats beyond the vacuous schema coverage.
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 Smith Number: Is Smith Number' is a pure tautology that restates the tool name without defining what a Smith number is or what the tool computes. It names no verb, resource, or behavior — an agent learns nothing beyond the tool's own identifier.
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 whatsoever on when to use this tool. The sibling list contains x402-is-smith, which appears to be a near-duplicate, and the description does nothing to disambiguate between them or any of the hundreds of other number-property predicates (is-prime, is-perfect-number, etc.).
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.