x402-date-to-epoch
Date To Epoch: Convert date to epoch.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Date To Epoch: Convert date to epoch.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must carry the full transparency burden. It does not state accepted date formats, timezone handling, output unit, return value shape, or the fact that the schema exposes no way to pass a date. The description provides no behavioral information beyond the operation implied by the name.
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 short and front-loaded, which fits a trivial conversion tool. However, the 'Date To Epoch:' prefix is redundant with the sentence and the brevity sacrifices essential operational detail, so it is acceptable but not strong.
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?
With no annotations, an empty input schema, and no output schema, the description needed to explain how a date is provided and what the result looks like. It does neither, leaving the agent unable to reliably invoke the tool or interpret its response.
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 is empty and context confirms zero parameters, so there are no parameter semantics the description needs to document. The description is vague about the implied date operand, but at the parameter level there is nothing in the schema to clarify.
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 phrase 'Convert date to epoch' names a direction and target format, so the basic operation is recognizable. However, it is nearly a restatement of the tool name and does not differentiate this from sibling tools such as x402-date-to-unix or x402-epoch-to-date.
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 when-to-use guidance, no exclusion criterion, and no mention of alternatives. An agent browsing thousands of siblings has no basis for choosing this tool over a related converter like x402-date-to-unix or x402-epoch-to-date.
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.