x402-circle-segment-area
Circle Segment Area: Area of circle segment.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Circle Segment Area: Area of circle segment.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full behavioral burden. It states only the computed quantity and says nothing about how the circle segment is specified, what inputs are required, what output format is returned, or how edge cases such as segment height versus central angle are handled.
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 very short and the key term appears early, but the leading label 'Circle Segment Area' is redundant with the tool name and the following phrase. Conciseness is achieved at the cost of useful behavioral and usage detail.
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?
A zero-parameter geometry tool with no annotations and no output schema leaves an agent unable to determine how to specify a concrete circle segment or what the response will look like. The description is far too incomplete for reliable automated invocation.
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, so there are no parameter semantics to document and schema coverage is effectively complete. The description adds nothing about parameters, but the baseline for a zero-parameter tool is already adequate.
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 identifies the intended computation as the area of a circle segment, which distinguishes it from sibling tools like circle area or sector area. However, it is a noun phrase that closely restates the tool name and lacks an explicit verb or statement of what the tool does with inputs.
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 about when to use this tool or when to prefer related geometry tools such as x402-circle-area or x402-circle-sector-area. The intended usage is only implied by the tool name and mathematical term, not explained.
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.