x402-nth-smallest
Nth Smallest: Nth Smallest
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Nth Smallest: Nth Smallest
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations present, the description carries the full burden of behavioral disclosure, and it discloses nothing — no side effects, no input expectations, no return shape, no error behavior. The agent has no signal about what invoking this tool will do beyond what the bare name implies.
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?
This is under-specification, not conciseness — two repeated words with no content. There is no front-loaded information because there is no information at all. Every sentence (the single fragment) fails to earn its place; the whole entry is essentially a placeholder.
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 a vacuous description, nothing about the invocation contract, argument handling, or return value is documented. For a tool that clearly computes a statistical result from unseen inputs, this is completely inadequate for an agent to call 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 schema has 0 parameters, so the baseline would normally be 4, but the tool's name clearly implies it requires inputs (a collection and an order statistic), and the empty schema plus vacuous description leave the agent no way to know how to supply them. The description fails to compensate by explaining any alternative input mechanism, so it provides zero semantic value beyond the name.
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 'Nth Smallest: Nth Smallest' is a pure tautology — it merely restates the tool name in both the title slot and the body, with no verb, resource, or operation described. It also fails to distinguish this tool from the sibling x402-nth-largest, which an agent would need to disambiguate.
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 zero guidance on when to invoke this tool versus any alternative. The massive sibling list includes x402-nth-largest, sorting utilities, and stats tools, but no mention is made of which selection conditions favor this one. No when, when-not, prerequisite, or alternative routing is provided.
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.