x402-rfc2822
Rfc2822: Format a date as an RFC 2822 email date string (e.g. 'Wed, 02 Sep 2026 12:00:00 +0000'). Provide optional date.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| date | No | Date to process |
Rfc2822: Format a date as an RFC 2822 email date string (e.g. 'Wed, 02 Sep 2026 12:00:00 +0000'). Provide optional date.
| Name | Required | Description | Default |
|---|---|---|---|
| date | No | Date to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It states the output format and optional input, but it does not explain the default behavior when no date is provided, accepted input date formats, or timezone handling behavior.
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?
One tightly written sentence with a useful output example, and no filler. The core behavior is front-loaded and the optional-parameter note is included without redundancy.
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 should specify the default when no date is provided and the acceptable input date representations. These details are missing, so an agent cannot be fully confident how the optional parameter behaves.
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 coverage is 100%, so the schema already documents the single parameter. The description adds only that the date is optional, which is already reflected in the schema; it does not clarify the expected date format or syntax, so it remains at the baseline.
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 clearly identifies the tool's action ('Format a date'), the specific output standard (RFC 2822), and supplies an illustrative example. This distinguishes it from other date formatting tools such as x402-rfc3339 and x402-format-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?
No guidance is given about when to choose this tool over alternatives like x402-rfc3339 or other date-formatting siblings. The description does not mention any exclusions, prerequisites, or selection criteria.
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.