x402-random
Random: Crypto-secure random. 🆓 5 free trial calls per registered wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Random: Crypto-secure random. 🆓 5 free trial calls per registered wallet
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden and does add some value: it discloses the cryptographic security property and the 5-free-trial-calls-per-registered-wallet limit, which signals a metered/quota behavior agents should expect. However, it doesn't clarify whether the operation is read-only, what happens after the trial expires, or what response format is returned.
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 appropriately terse at roughly a sentence, with the core security property front-loaded. The leading 'Random:' prefix slightly restates the tool name and adds little, and the emoji is cosmetic, but overall no words are wasted.
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 zero-parameter tool, the definition is close to adequate, but the output format is entirely unspecified — an agent cannot predict whether it receives a hex string, integer, or byte array. The 'per registered wallet' mechanism is also unexplained: whether wallet auth is required and what happens beyond the 5 free calls. These are meaningful gaps for a tool that must be invoked 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?
The tool has zero parameters, so the schema requires no explanation and the description needn't compensate. Baseline 4 applies per the rubric; there is nothing the description fails 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 conveys that this tool produces cryptographically secure random output, which distinguishes it from the many random-* siblings (random-range, random-normal, random-word, etc.). The 'Crypto-secure' qualifier adds real meaning beyond the tool name, though the description lacks a verb and doesn't specify the output form (bytes, hex, number).
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-uuid, x402-password, x402-nanoid, or the non-crypto random-* tools. The trial-call note is a billing detail, not usage routing. An agent must infer the use case entirely from the tool name and sibling context.
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.