x402-weeks-in-year
Weeks In Year: Weeks In Year
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Weeks In Year: Weeks In Year
| 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 behavioral disclosure burden. The description only restates the name and reveals nothing about what the tool does, what it returns, whether it uses the current year, or any other behavioral characteristics. This is a complete absence of behavioral information.
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 extremely short, but this is under-specification rather than effective conciseness. It is a two-word phrase repeated with a colon, not a structured sentence that earns its place. The brevity saves tokens but sacrifices all meaning, so it fails the conciseness-with-substance test.
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 the absence of an output schema and the presence of many closely related sibling tools (week-number, week-of-year, calendar-weeks, days-in-year), this description is completely inadequate. An agent cannot infer what the function computes, what input context applies, or what output format to expect. The definition is far too sparse to be operationally useful.
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 is empty with zero parameters, so per rubric the baseline is 4 and there are no parameter semantics to document. However, the description could have clarified whether the tool uses the current year or returns a static value, but this gap is better attributed to behavioral transparency than to parameter semantics. With no parameters, the schema already fully defines the inputs.
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 'Weeks In Year: Weeks In Year' is a pure tautology that simply repeats the tool name with a colon. It contains no verb, no resource specification, and no statement of what is computed. It is indistinguishable from a title label and provides no actual purpose.
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 the many date-related siblings such as x402-week-number, x402-week-of-year, x402-calendar-weeks, or x402-days-in-year. An agent has no way to decide whether to invoke this tool or an alternative.
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.