x402-is-perfect
Is Perfect: Is Perfect
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Perfect: Is Perfect
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided and the description reveals no behavioral traits: no indication of whether this is a read-only check, whether it accepts input, what it returns, or what side effects if any. The description carries the full burden and fails entirely.
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 extremely short, but this is under-specification rather than conciseness. It adds no functional information and cannot justify its existence.
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 meaningful description, no annotations, no output schema, and an empty input schema, the tool is not describable as complete. An agent selecting among hundreds of x402 tools has no way to know what this tool does, what inputs it expects, or what result it produces.
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 is empty and there are zero parameters, so there is nothing for the description to clarify about parameter meanings. The baseline for zero-parameter tools applies; however, the empty schema is itself suspicious for a tool named 'is-perfect' and the description does not resolve that concern.
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 a pure tautology ('Is Perfect: Is Perfect') that merely restates the tool name without any verb, resource, or operational detail. It does not specify what is being tested (perfect number, perfect square, perfection score), and there are similarly named siblings like x402-is-perfect-number and x402-is-perfect-num that it cannot be distinguished from.
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 about when to use this tool or when to prefer one of the many is-* or perfect-related siblings. The description provides no decision-relevant context whatsoever.
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.