x402-hapax-legomena
Hapax Legomena: Hapax Legomena
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Hapax Legomena: Hapax Legomena
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided and the description carries the full burden of behavioral disclosure. The description 'Hapax Legomena: Hapax Legomena' reveals nothing about what the tool does, what it returns, side effects, rate limits, or any behavioral characteristic. An agent cannot predict the operation or consequences of invoking this tool.
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 extremely short, but 'conciseness' does not mean content-free. There are no redundant fillers, yet the text is under-specified, not concise. It front-loads nothing useful and wastes the reader's time entirely. In the calibration examples, a one-word name repeat scored 2 under this dimension, and this is essentially just a name repeat with a prefix.
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 zero parameters and no output schema, the description is the only source of information. It fails to define the domain, inputs, outputs, or purpose. Among 1500+ sibling tools, there is no way to know whether this is a text-analysis, statistics, or lore tool. The definition is wholly inadequate for an agent to decide when or how to use it.
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 has zero parameters, so the description is not obligated to explain parameter meaning. However, the literal absence of parameters likely means the tool takes none, and the description adds no value because it fails to say what the tool does without parameters. The baseline of 4 for zero-param tools assumes the description at least clarifies the tool's purpose; that assumption is broken here. Still, since no parameter information is missing for an empty schema, the score is somewhat above a failing one.
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 is 'Hapax Legomena: Hapax Legomena' — a pure tautology that merely restates the tool name and title. It provides a seemingly academic term but the description itself is a tautology: 'Hapax Legomena: Hapax Legomena'. An agent cannot determine the actual function, resource, or output. There is no verb and no resource described. Among over a thousand sibling tools, this one is utterly indistinguishable from a typo or placeholder. No purpose is actually communicated.
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?
The description contains zero guidance about when to use this tool versus any alternative. There are no use cases, no context, no exclusions, and no alternatives mentioned. With over a thousand sibling tools, an agent has no basis to select or invoke this particular one.
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.