x402-days-in-month
Days In Month: Days In Month
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| date | No | Date to process |
Days In Month: Days In Month
| Name | Required | Description | Default |
|---|---|---|---|
| date | No | Date to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full responsibility for behavioral disclosure. It discloses nothing: no mention of what is computed, whether it expects a date string, what format is required, or what the output represents. The description is behaviorally 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 text is short but this is under-specification rather than conciseness. 'Days In Month: Days In Month' contains zero informative content and does not earn its place. No useful information is front-loaded because none exists.
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?
With no annotations, no output schema, and a single vague parameter, the description needed to explain the input format, what the tool returns, and how it relates to sibling tools. It does none of this, so an agent cannot reliably invoke the tool correctly.
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 description coverage is 100% for the single 'date' parameter, but the schema only says 'Date to process' with no format or example. The description adds no additional meaning beyond the schema. Baseline 3 applies because the schema covers the parameter, but the minimal 'Date to process' leaves the agent guessing about formatting.
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 'Days In Month: Days In Month' is a pure tautology that simply restates the tool name and title. It fails to state what the tool actually does, such as returning the number of days in the month of the given date, and provides no differentiation from siblings like x402-days-in-month-year or x402-month-days.
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 on when to use this tool versus alternatives such as x402-days-in-month-year or x402-days-in-quarter. The description offers no context about acceptable inputs, expected results, or why an agent would select this specific tool.
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.