x402-day-name-short
Day Name Short: Short name of a day of week.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Day Name Short: Short name of a day of week.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the entire burden of behavioral disclosure. It does not mention that the tool likely operates on the current date, nor does it describe output format (e.g., 'Mon' vs 'Monday'), locale, or timezone behavior. The description discloses only the outcome category, not the actual 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?
The description is very short with no wasted words, but it suffers from under-specification rather than true conciseness. The phrase 'Day Name Short: Short name of a day of week' is compact yet omits critical operational details, so it earns a middle score: appropriately sized in form, inadequate in substance.
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 there are no parameters, no output schema, and no annotations, the description is the only source of context. It is incomplete because it does not specify which day is used, what the returned short name looks like, or any locale/format assumptions. For an otherwise parameterless tool, this gap is significant and leaves the agent to guess.
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 has zero parameters, and schema description coverage is trivially 100%. Per the 0-parameter baseline, the description need not explain parameters. However, it also does not clarify what implicit input the tool uses (probably the current date), which would help resolve the absence of parameters, but this is a minor gap for this dimension.
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 essentially a restatement of the tool name: 'Day Name Short: Short name of a day of week.' There is no verb indicating an action such as 'returns' or 'gets,' and it fails to specify which day is addressed (e.g., the current day). It provides only the bare concept of a short weekday name, making the purpose vague and largely tautological.
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?
The description gives no guidance on when to use this tool versus siblings like x402-day-name-full or x402-day-of-week. It does not state a preferred context, nor does it exclude alternatives. The user must infer usage purely from the tool's name and the sibling list.
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.