x402-random-word
Random Word: Generate a random word.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| count | No | Count to process |
Random Word: Generate a random word.
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| count | No | Count to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, but it only says a random word is generated. It does not explain word length, vocabulary source, whether 'count' or 'n' control output size, or what the response shape will be.
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 and front-loaded, with no filler. The leading 'Random Word:' prefix is somewhat redundant with the tool name, which prevents a perfect score, but the remainder wastes no words.
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?
The tool has two opaque parameters, no output schema, and no annotations, yet the description provides only a minimal one-line summary. It does not explain how to use the parameters or what an agent should expect in return, leaving important context missing.
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 schema's parameter descriptions are unhelpful placeholders ('N to process', 'Count to process'), and the tool description adds no clarification about what 'n' or 'count' mean for generating a random word. An agent cannot confidently determine valid or meaningful values.
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 clear action and resource: 'Generate a random word.' This is understandable at a glance. However, it does not distinguish this tool from the many other random-word/lorem/word siblings available in the tool list.
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?
No guidance is given about when to use this tool versus alternatives like x402-lorem, x402-random, or x402-wiki-random. There is no mention of preferred use cases, parameter-driven behavior, or exclusions.
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.