x402-is-disarium-number
Is Disarium Number: Is Disarium Number
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Disarium Number: Is Disarium Number
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden of behavioral disclosure, and it provides none — no definition of what a Disarium number is, no mention of expected input, return value, edge cases, or failure behavior. The text is purely tautological and adds zero behavioral information.
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 six words it is technically short, but this is under-specification, not conciseness. The colon-separated 'Title: Description' pattern suggests a template where the actual descriptive content failed to render, leaving redundant repetition that wastes the few tokens an agent reads.
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?
There is no output schema, no annotations, no parameter guidance, and no explanation of how a number is supplied given the schema exposes zero properties. An agent can neither determine the call contract, the return value, nor how this tool differs from its sibling x402-is-disarium. The definition is 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?
The schema has 0 parameters and 100% coverage, so the 0-params baseline of 4 applies; there are no parameters whose semantics need documenting. The description adds nothing, but nothing is required either. Note this is a purely mechanical score — the empty schema itself is suspicious for a predicate tool that logically needs a number 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 'Is Disarium Number: Is Disarium Number' — a verbatim restatement of the tool name and title. It contains no verb, no resource, and no statement of function. An agent can only guess from the name that the tool tests whether a number is a Disarium number; the description itself conveys zero meaning.
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 is given on when to use this tool. With dozens of sibling predicate tools (notably x402-is-disarium, which appears to be a near-duplicate) there is no differentiation, no usage context, and no direction toward or away from any alternative.
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.