x402-iso-to-unix
ISO To Unix: Convert iso to unix.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| iso | No | Iso to process | |
| date | No | Date to process | |
| input | No | Input to process |
ISO To Unix: Convert iso to unix.
| Name | Required | Description | Default |
|---|---|---|---|
| iso | No | Iso to process | |
| date | No | Date to process | |
| input | No | Input to process |
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 behavioral disclosure. It does not mention accepted input formats (e.g., ISO 8601 with timezone, date-only, milliseconds), error behavior for invalid inputs, timezone assumptions for date-only strings, or whether the output is seconds or milliseconds. For a date-conversion tool, these behavioral details are crucial.
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 (one sentence), which is conciseness, but it front-loads the title words instead of adding clarifying detail. At this size, every word should carry weight; 'ISO To Unix' is redundant with the tool name, and 'Convert iso to unix' only adds a verb.
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?
Three parameters and no output schema mean the description must explain which parameter to use, what input format is expected, and what the output looks like. It does none of that. For a tool with such a sparse description, an agent cannot confidently invoke it correctly without risking errors.
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 has 100% description coverage with parameter names 'iso', 'date', and 'input', each generically described as '...to process'. The overall description states the conversion intent, so an agent can guess that 'iso' is the ISO string and 'date' is another date representation, but the individual parameter descriptions add no meaning beyond the names. The tool seems to accept multiple interchangeable input fields, which is confusing and not clarified.
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 'ISO To Unix: Convert iso to unix.' gives a specific verb ('Convert') and resource ('iso to unix'), so an agent can infer it converts an ISO-8601 date string to a Unix timestamp. However, it's terse and does not distinguish it from closely related siblings like 'x402-date-to-unix' or 'x402-unix-to-iso' – an agent comparing names would not know whether 'iso' refers to a date format or some other ISO standard.
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 on when to use this tool versus siblings like x402-date-to-unix, x402-date-to-epoch, or x402-epcoh-to-date is provided. The description only restates the conversion, leaving the agent to guess whether this tool is the right one for ISO strings with timezone offsets, milliseconds, or other formats.
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.