x402-hemisphere-volume
Hemisphere Volume: Volume of hemisphere.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Hemisphere Volume: Volume of hemisphere.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, but it reveals only the tautological claim 'Volume of hemisphere.' It does not state the formula, the required radius input, units, or the return format, leaving the agent with no understanding of how the tool behaves or what it needs to execute.
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?
While extremely short, the description is under-specified rather than helpful. 'Hemisphere Volume: Volume of hemisphere' contains no actionable details and spends its only content restating the name.
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?
Given the empty schema, no output schema, no annotations, and no usage guidance, the description is completely inadequate. An agent cannot correctly select or invoke this tool because the required radius is undocumented and the behavior is unstated.
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 parameters, and the description fails to explain how the radius is supplied, which is a mathematical necessity for computing a hemisphere volume. Although the 0-param baseline normally merits a 4, here the empty schema combined with a silent description creates a critical ambiguity: an agent cannot know what input (if any) to provide.
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, 'Hemisphere Volume: Volume of hemisphere,' essentially restates the tool name without adding any new information. It clearly identifies the topic but lacks a specific verb like 'calculate' or 'compute' and does not distinguish this tool from sibling tools like x402-hemisphere-surface or x402-sphere-volume.
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 alternatives such as x402-sphere-volume or x402-hemisphere-surface. The only implied context is that it relates to hemisphere volume, but no conditions, prerequisites, or exclusions are provided.
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.