x402-circle-area
Circle Area: Area of circle.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Circle Area: Area of circle.
| 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 carries the full burden of behavioral disclosure. It only implies a pure, side-effect-free computation that returns a numeric area — no mention of how input is supplied, what units are expected, what the return format is, or any edge cases. The empty input schema makes the missing input mechanism a critical undisclosed 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 six words it is compact, but this is under-specification rather than economy: every word re-states the tool name ('Circle Area: Area of circle'). The single sentence is front-loaded but earns no place because it conveys no new information to an agent selecting among thousands of similar tools.
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 tool with no annotations, no output schema, and an empty input schema, the description must carry the full explanatory load and it does almost none of it. The most important fact — how radius input reaches a tool whose schema accepts no parameters — is completely absent, leaving correct invocation uncertain.
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 zero properties, so it provides no parameter information, and the description does not compensate by explaining how the radius is provided to the tool. An agent cannot tell whether the radius should be included in natural language, read from context, or passed some other way. The description adds no meaning beyond the empty schema.
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 'Circle Area: Area of circle.' restates the tool name nearly verbatim — the name already contains 'circle-area' and the description just repeats it. It conveys the basic operation but adds no information beyond the name itself and does not tistinguish the tool from siblings like 402-circle-circumference, x402-circle-sector-area, or the generic x402-area.
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 zero guidance on when to use this tool versus alternatives. Among thousands of siblings including x402-circle-circumference, x402-circle-sector-area, x402-circle-segment-area, and x402-area, the description offers no selection criteria, no exclusions, and no mention of alternatives. An agent must rely entirely on the name.
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.