x402-speed-to-kph
Speed To Kph: Convert speed to kph.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Speed To Kph: Convert speed to kph.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description alone must reveal behavioral expectations. It only states the conversion and does not explain how the speed input is provided, what units are accepted, or what the output looks like. The empty input schema makes this gap especially significant, because the agent cannot tell how to invoke the tool.
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 one short sentence and front-loads the operation. It earns a high marks for brevity, though some words are redundant with 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?
For a conversion tool, the description leaves the input unit unspecified and provides no indication of output format or expected behavior. The empty schema and lack of annotations mean the description should compensate, but it only states the bare conversion. An agent would need to guess what 'speed' means in terms of units and how the tool receives its value.
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, so the baseline is 4. The description does not need to document parameter meaning since there are none. It does not explain how the speed value reaches the tool, but the schema itself gives the agent no place to supply one.
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 clearly states a specific purpose: converting speed to kph. It is not a tautology like 'Process' and gives an agent a concrete sense of the operation. However, it does not distinguish itself from many sibling conversion tools such as mps-to-kph or knots-to-kph.
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 implies when to use the tool: when speed needs to be converted to kph. But it offers no explicit guidance on source units, nor does it mention alternatives like speed-convert or knots-to-kph. The usage is inferred rather than clearly scoped.
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.