x402-joule-to-kwh
Joule To KWH: Convert joule to kwh.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Joule To KWH: Convert joule to kwh.
| 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 only 'Convert' and reveals nothing about how the tool actually behaves: it does not mention how an input value is supplied given the empty input schema, what conversion factor or precision is used, or what the response looks like. For a tool with zero annotation coverage, this is a substantial gap.
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 very short, with no bloat, but the opening 'Joule To KWH:' segment merely repeats the tool name before the actual instruction 'Convert joule to kwh.' The redundancy is minor but means the first clause does not earn 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?
For a simple conversion tool this could be complete, but it is not: there are no annotations, no output schema, and an empty input schema, and the description clarifies none of these. The agent is never told how to pass the joule value, what conversion rate applies (e.g., 1 Joule = 2.77778e-7 kWh), or what will be returned. The tool is not practically invocable from the information provided.
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 schema declares 0 parameters, so there is no field documentation for the description to supplement; the baseline of 4 would normally apply. However, the description implies an input operand ('Convert jle to kwh') while the schema accepts none, and the description never explains this contradiction or how the operand is expected to be conveyed. The description therefore adds no real parameter meaning and leaves the invocation ambiguous.
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 'Joule To KWH: Convert joule to kwh.' states a clear conversion direction (joule → kilowatt-hour) with an operation verb, so it is not a pure tautology. However, it is essentially a restatement of the tool name x402-joule-to-kwh with 'Convert' attached, and it does nothing to distinguish itself from the hundreds of sibling conversion tools (e.g., x402-kwh-to-joule, x402-calories-to-joules).
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. The description names no sibling tool (notably the inverse converter x402-kwh-to-joule), states no selection condition, and gives no context about whether this is the right choice for a user's unit-conversion request. The agent is left entirely to inference.
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.