x402-is-disarium
Is Disarium: Is Disarium
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Disarium: Is Disarium
| 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 bears the full burdon of disclosing behavior. It reveals nothing: no side effects, no purity, no return-value semantics, no input expectations. This is completely opaque for a predicate tool.
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 only two words long, but this is not conciseness — it is under-specification. A single useful sentence defining the predicate and its input would earn its place; this label repetition communicates nothing.
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 a tautological description, an empty schema, no annotations, and no output schema, an agent has no way to know what the tool checks, how to invoke it meaningfully, or what response to expect. The mathematical definition of a Disarium number is never supplied.
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 properties, which already tells the agent there are no parameters to set. The description adds no parameter information, but none is required for a parameter-less schema. Per the rubric, 0 params gets a baseline 4.
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: Is Disarium' — a pure tautology that merely restates the tool name with a colon. It does not say what the tool does (e.g., check whether a number is a Disarium number), nor does it distinguish itself from the near-duplicate sibling x402-is-disarium-number. An agent gets zero usable 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?
There is no guidance whatsoever abut when to use this tool versus alternatives. The sibling list contains many is-* predicates (x402-is-armstrong, x402-is-happy, x402-is-disarium-number, etc.), and the description gives no rule for choosing among them.
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.