x402-square-series
Square Series: Series of square.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Square Series: Series of square.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
由于没有 annotations,描述必须承担行为披露的全部责任,但它只写了 'series of square'。它没有说明工具是否返回固定序列、是否依赖默认值,以及响应格式是什么。也没有涉及副作用或状态影响。
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?
描述虽然简短,但并非有效的简洁:'Square Series' 与工具名称重复,'Series of square' 在语法上也不完整。与其说精简,不如说是信息不足。
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?
没有输出 schema 时,代理只能依赖描述来了解返回值,但描述没有说明序列包含哪些元素、有多少项或返回什么格式。上下文只比完全缺少描述稍微好一点。
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?
输入 schema 有零个参数,schema 描述覆盖率为 100%。对于无参数工具,描述没有需要补充的参数语义,基线为 4 是合适的。
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?
是 'Square Series: Series of square' 本质上是对工具名称的名词性复述,没有给出任何动词或具体操作。它无法与 x402-arithmetic-series、x402-prime-series 等兄弟序列工具区分开来。
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?
没有任何关于何时使用此工具、概念上期望什么输入或哪些替代工具更适合的指导。未给出任何排除条件或替代条件。
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.