x402-box-volume
Box Volume: Volume of box.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Box Volume: Volume of box.
| 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 says nothing about what the tool actually returns, how it receives a box's dimensions, whether it is a pure calculation, or any edge cases. The phrase 'Volume of box' asserts the topic but not the 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?
The description is tiny, but this is under-specification rather than efficient conciseness. Two short clauses restate the tool's name without earning their place by adding actionable detail. A useful description could be equally short while stating the calculation and input expectations.
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?
This is a calculation tool with no parameters, no annotations, and no output schema, so the description must explain how the tool behaves—and it does not. An agent cannot know what inputs to provide, what form the output takes, or how this differs from cube/rectangular-prism volume tools. The description is critically incomplete.
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 (0 parameters), and per the rubric this gives a baseline of 4. The description adds no parameter-specific meaning, but there are no parameters to document. The lack of an explanation for how dimensions are supplied is a completeness concern, not a parameter-semantics one.
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 'Box Volume: Volume of box.' is essentially a restatement of the tool name, offering no verb or resource clarification. It does not distinguish this tool from many siblings such as x402-cube-volume, x402-rect-prism-volume, or x402-sphere-volume. The agent is left with only the name to guess what 'box' means.
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 on when to use this tool versus the many related volume tools. No conditions, exclusions, or alternative tool names are mentioned. The description neither misleads nor helps; it simply offers no usage context.
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.