x402-cone-volume
Cone Volume: Volume of cone.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Cone Volume: Volume of cone.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations and no output schema, the description carries the full burden of behavioral disclosure, but it only repeats the tool name. It does not state whether the tool returns a number, what units are used, what assumptions are made, or what happens with edge cases. There is effectively no behavioral information beyond the name itself.
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, but brevity here is under-specification rather than effective conciseness. No part of the description earns its place by adding actionable information beyond the tool 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 lack of annotations and output schema, the description should at least explain the expected return value or the scope of the calculation. It does not mention that the result is a numeric volume, specify units, or clarify any input expectations. For a parameterless tool it is minimally recognizable but still 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 has zero properties and 100% schema coverage, so there are no parameters whose meaning the description would need to clarify. The empty schema makes parameter documentation unnecessary, and the baseline for zero-parameter tools applies.
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, 'Cone Volume: Volume of cone,' essentially restates the tool name without adding a clear verb or resource specification. It identifies the topic but provides no functional detail that would allow an agent to understand what the tool actually does beyond the title. It also does not distinguish itself from closely related siblings such as x402-cone-surface or 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?
The description gives no guidance on when to use this tool versus alternatives. It does not mention when a complete cone volume is appropriate, nor does it exclude frustum or surface-area cases. The context is implied by the name rather than 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.