x402-frustum-volume
Frustum Volume: Volume of frustum.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Frustum Volume: Volume of frustum.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosure, and it fails. It does not explain how a volume is computed from zero parameters, what geometric interpretation of 'frustum' is used, what the return value looks like, or what units are returned. An agent cannot predict the tool's behavior from this text.
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 short, but this is under-specification rather than disciplined conciseness. The label 'Frustum Volume:' is redundant with the tool name, and the single substantive clause adds no information not already in the name. Every word is wasted rather than earning its place.
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 zero parameters, no annotations, and no output schema, the description is the agent's only source of guidance, and it is entirely inadequate. It does not enable correct invocation, does not disclose what shape or dimensions are assumed, and provides no way to distinguish this tool from its geometric siblings.
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 an empty object with 0 parameters, and per the zero-parameter baseline this dimension merits a 4. The schema fully documents that no arguments are needed, and the description appropriately adds no parameter info that would conflict with that.
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 'Frustum Volume: Volume of frustum' is a tautology — the prefix restates the tool name and the body merely rephrases it. It conveys that the tool computes a frustum's volume but adds no definitional detail (cone vs pyramid frustum), and critically fails to distinguish it from the near-identical sibling x402-cone-frustum-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?
No when-to-use guidance is provided. The tool is ambiguous against direct siblings like x402-cone-frustum-volume, x402-cone-volume, and x402-pyramid-volume, and the description neither names alternatives nor states the conditions under which this tool should be selected over them.
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.