x402-kph-to-knots
Kph To Knots: Convert kph to knots.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Kph To Knots: Convert kph to knots.
| 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 does not explain how the tool receives its input value given the input schema has zero parameters, nor does it describe the output format, rounding behavior, or whether it is a pure function. For a tool with no annotation safety profile, this is a significant 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 compact with no wasted words, but the 'Kph To Knots:' prefix is redundant with the following clause and with the tool name itself. This is borderline under-specification rather than deliberate conciseness — the content is minimal but repeats information already present in the identifier.
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?
The description is inadequate given the empty schema. An agent cannot determine how to pass the speed value to convert, since the schema declares no input parameters and the description offers no clues about the invocation mechanism. With no output schema and no annotations, the tool remains under-specified for reliable selection and invocation.
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?
With zero parameters in the schema, the baseline is 4 per the rubric. The description doesn't need to document parameters that don't exist. However, the empty schema itself creates ambiguity about how the conversion input is supplied, which is a concern that belongs more to contextual completeness than to parameter semantics.
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 states a specific verb and resource: 'Convert kph to knots.' It clearly communicates the conversion direction, which differentiates it from the sibling tool x402-knots-to-kph that performs the reverse conversion. The meaning is unambiguous, though it largely restates what the tool name already conveys.
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 guidance is given about when to choose this tool over the many related siblings such as x402-knots-to-kph, x402-kph-to-mps, x402-speed-convert, or x402-units-convert. There is no stated use case, no exclusions, and no mention of alternatives. The agent must infer selection purely from the tool's name and description.
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.