x402-days-in-quarter
Days In Quarter: Days In Quarter
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Days In Quarter: Days In Quarter
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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. The description reveals nothing about whether the tool uses a reference date, expects hidden context, returns a count for a current quarter, or requires side effects—it is completely opaque.
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 not effectively concise; it is under-specified. A single repeated phrase earns no credit for structure or front-loading because it conveys zero actionable information beyond the tool name.
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?
Even though the tool has no parameters and no output schema, an agent needs to know what value this tool returns and under what context (e.g., current quarter? input date? a fixed quarter?). Given the ambiguity of 'days in quarter' without any input mechanism, this description is completely inadequate for correct invocation and result interpretation.
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 tool has zero parameters, so there is no parameter semantics burden. The empty input schema fully describes the call signature, and even a 100% coverage baseline applies. The lack of any description is acceptable for parameter semantics because there is nothing to document.
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: 'Days In Quarter: Days In Quarter' simply repeats the tool name without stating any verb, action, or resource. It provides no information about what the tool computes or returns, and it fails to distinguish itself from closely related siblings like x402-days-in-month or x402-quarter-of-year.
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 whatsoever about when to use this tool relative to alternatives. With a large family of date/day/quarter tools in the sibling list, an agent cannot determine whether to call this versus x402-days-in-month, x402-quarter-of-year, or x402-days-between.
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.