x402-cron
Cron: Cron expression utilities — parse and describe schedules.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cron | No | Cron to process | |
| expr | No | Expr to process |
Cron: Cron expression utilities — parse and describe schedules.
| Name | Required | Description | Default |
|---|---|---|---|
| cron | No | Cron to process | |
| expr | No | Expr to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only says the tool can parse and describe schedules; it does not explain what output the agent should expect, whether the parameters are alternatives or required together, how invalid cron expressions are handled, or whether the operation has side effects.
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 a single sentence and therefore concise, but it is also under-specified; the 'Cron:' prefix largely repeats the tool name and 'utilities' adds little meaning. It is not verbose, but it earns its place only minimally.
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?
Given no output schema, no annotations, two ambiguous optional parameters, and multiple closely related sibling tools, the description is not complete enough for an agent to know how to call the tool correctly. The agent is left without enough context about parameter semantics, return values, or selection among cron siblings.
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?
Both parameters are documented in the schema (100% coverage), so the baseline is 3. The prose does not add much beyond that, and the schema descriptions ('Cron to process' / 'Expr to process') are unhelpfully terse. The description does not clarify the relationship between `cron` and `expr` or the expected expression format.
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 names a clear resource and action: cron expressions are parsed and schedules are described. However, it is framed as a generic 'utilities' tool and does not distinguish itself from the dedicated sibling tools x402-cron-parse, x402-cron-validate, x402-cron-next, and x402-cron-humanize.
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 rather than one of the more specialized cron siblings. The phrase 'cron expression utilities' implies a broad use case, but it does not state when this generic tool is preferable or when a sibling should be chosen.
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.