x402-ngram-gen
Ngram Gen: Ngram Gen
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| input | No | Input to process |
Ngram Gen: Ngram Gen
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| input | No | Input to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full responsibility for disclosing behavior, and it discloses nothing. It doesn't say whether the tool generates, analyzes, or transforms n-grams, nor what output or side effects it produces.
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 this is under-specification, not effective conciseness. Repeating the name twice creates a tautology with zero informational value.
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 2 parameters, no output schema, and an ambiguous relationship to a sibling x402-ngram, this description is completely inadequate. Missing critical context: the meaning of n, the input format, the expected result, and how this tool differs from related ngram tools.
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 provides descriptions for both parameters (100% coverage), yielding the baseline of 3. Those descriptions are generic ('N to process', 'Input to process') and the tool description adds no further context, but the schema at least names both parameters.
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 'Ngram Gen: Ngram Gen', which merely restates the tool name and provides no verb, resource, or behavior. It does not distinguish this tool from the sibling x402-ngram, making the purpose entirely unclear.
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 usage guidance is given. The description does not mention when to use this tool, what problem it solves, or how it compares to alternatives like x402-ngram or x402-bigrams. An agent has no basis for selecting it over siblings.
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.