x402-nanoid
Nanoid: Generate a NanoID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| size | No | Size to process |
Nanoid: Generate a NanoID.
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| size | No | Size to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden of behavioral disclosure. It only says 'Generate a NanoID' and reveals nothing about cryptographic security, default length, character set, collision guarantees, or whether calling with no arguments is valid.
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?
One sentence with no wasted words, but the brevity reads as under-specification rather than efficient compression. The 'Nanoid:' prefix is redundant with the tool name and could have been replaced with genuinely useful parameter or behavior details.
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 output schema, no annotations, and meaningless parameter descriptions, the description leaves critical gaps: expected return format (single ID vs array), default behavior, and parameter semantics. For a tool with two parameters and a close sibling like x402-uuid, this is incomplete.
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?
Although schema coverage is technically 100%, both parameter descriptions ('N to process', 'Size to process') are vacuous placeholders that explain nothing about what n or size mean. The description adds no clarification, so an agent cannot reliably determine that n likely controls output count and size controls ID length.
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 specific verb ('Generate') and a specific resource ('a NanoID'), so it is minimally clear what the tool does. However, it essentially restates the tool name 'x402-nanoid' with a generic verb and does nothing to differentiate it from siblings like x402-uuid or x402-random.
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 NanoID generation versus alternatives such as x402-uuid, x402-random, or x402-password. An agent must infer selection purely from the tool name, with no stated conditions 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.