x402-timezone
Timezone: Timezone conversion and lookup.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| timezone | No | Timezone to process |
Timezone: Timezone conversion and lookup.
| Name | Required | Description | Default |
|---|---|---|---|
| timezone | No | Timezone to process |
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, but it only says 'Timezone conversion and lookup.' It does not reveal whether the tool converts the current time into the given timezone, requires both source and target zones, or merely returns an offset. Input format expectations (IANA name vs UTC offset), output shape, and error behavior for invalid zones are all undisclosed.
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 brief with no filler words, but brevity here reflects under-specification rather than deliberate conciseness. The 'Timezone:' prefix duplicates the tool name without adding information, and the one-liner contains no structural benefit such as front-loading the most decision-relevant detail.
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 alone must make the tool safely callable, and it does not. An agent cannot infer the return value, the conversion semantics, the accepted input format, or how this tool differs from the timezone sibling cluster. The simple 1-parameter signature is deceptive: the behavioral contract is underspecified.
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 already documents the sole parameter with a description ('Timezone to process') at 100% coverage, so the schema handles the baseline documentation. The tool description adds no meaning beyond the schema — nothing about expected format, allowed values, or what 'process' entails. Baseline 3 is appropriate.
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 states a domain ('Timezone') and two actions ('conversion and lookup'), so it is not a pure tautology. However, it never specifies what is converted (time values, zone identifiers, or offsets) or what is looked up, and it does not differentiate this tool from closely related siblings like timezone-offset, timezone-by-location, or timezone-boundary. The leading 'Timezone:' prefix redundantly echoes the tool name.
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 several closely related sibling tools (timezone-offset, timezone-by-location, timezone-boundary, time-utilities, time). No context, no exclusions, and no alternative routing is provided, leaving an agent to guess which timezone-related tool fits the task.
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.