x402-cron-next
Cron Next: Cron Next
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cron | No | Cron to process | |
| expression | No | Expression to process |
Cron Next: Cron Next
| Name | Required | Description | Default |
|---|---|---|---|
| cron | No | Cron to process | |
| expression | No | Expression to process |
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 discloses nothing: no return type, no side effects, no semantics of 'next', and no mention of whether this is a calculation, formatting, or validation 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 short, but brevity without content is under-specification, not conciseness. A single restatement of the tool name earns no value and leaves all substantive information absent.
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 tool with no annotations and no output schema, the description is severely incomplete. It fails to explain what 'cron next' produces, how the inputs relate, what format the cron/expression takes, or how the zero-required-parameter situation should be resolved.
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?
Schema description coverage is 100%, so the baseline is 3 even though the description itself adds no parameter explanation. The schema's 'Cron to process' and 'Expression to process' are present but generic; the description does not clarify which parameter to supply or whether they are alternatives.
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 is a pure tautology: 'Cron Next: Cron Next' merely restates the tool name. It gives no verb, resource, or behavior, and an agent cannot tell what this tool actually computes or how it differs from the many sibling cron utilities.
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 guidance about when to use this tool versus alternatives like x402-cron-parse, x402-cron-validate, or x402-cron-humanize. The name 'next' vaguely implies computing the next cron run, but the description provides no explicit context, exclusions, or alternative routing.
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.