x402-cm-to-inches
Cm To Inches: Convert cm to inches.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Cm To Inches: Convert cm to inches.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of explaining behavior. It conveys the core conversion action but omits operational details such as rounding/precision, how the cm value is supplied, and what the return value looks like. For a stateless converter, the essential behavior is still communicated.
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 and front-loaded. The 'Cm To Inches:' prefix is slightly redundant with the following sentence, but there is no filler or extra noise, making it appropriately concise for a simple conversion tool.
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 unit converter, naming both units is the main required context. However, because there is no output schema and the input schema is empty, the description does not clarify how the numeric value is passed or how the result is returned, leaving minor but real invocation ambiguity.
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 0-parameter baseline applies. The description still adds semantic value by identifying centimeters as the input unit and inches as the output unit, which the empty schema cannot express.
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 explicitly states the operation ('Convert cm to inches') and names both the source unit and the target unit. This clearly differentiates it from the inverse sibling x402-inches-to-cm and from other unit converters.
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 conversion direction implies the use case, but the description provides no explicit guidance about when to prefer this tool over alternatives, nor does it mention the inverse tool x402-inches-to-cm. There is no exclusion or routing context beyond the obvious cm-to-inches scenario.
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.