x402-kinetic-energy
Kinetic Energy: Energy of kinetic.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Kinetic Energy: Energy of kinetic.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full burden of explaining behavior, but it discloses nothing: no expected inputs, no output characteristics, no side effects, no constraints. The tool appears to take no parameters yet the description gives no hint of how it obtains mass or velocity values or what it returns. This is completely non-transparent.
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 extremely short, but this is under-specification rather than good conciseness. The phrase 'Energy of kinetic' is grammatically awkward and conveys no real information; the limited length is not used to deliver useful content. A well-structured description would use a sentence or two to state the function precisely.
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?
There is no output schema, no annotations, and an empty input schema, so the description is the sole source of information about invocation, inputs, outputs, and error conditions. It provides none of these. The tool is completely underspecified and unusable as documented, especially given the vast array of sibling tools that also lack differentiating context.
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, which earns a baseline of 4 since there are no parameter semantics to document. However, the description fails to explain the apparent absence of parameters or how the tool determines what to compute, leaving confusion about whether this is a constant, a universal calculation, or a misconfigured schema. This ambiguity reduces the score slightly.
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 'Kinetic Energy: Energy of kinetic' is essentially a tautology that restates the tool name without specifying any action, verb, or resource. It does not clarify what the tool computes, what it operates on, or how it differs from the many related physics siblings like potential-energy or velocity. An agent cannot determine the tool's function beyond the label itself.
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 whatsoever about when to use this tool versus any alternative. With a huge sibling list containing potential-energy, work, force, velocity, and many physics calculators, no contextual hints or exclusions are provided. The agent is left without any basis for choosing this tool over others.
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.