x402-powerset
Powerset: Generate the powerset of an array — every possible subset. Provide values; returns array of all subsets.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Powerset: Generate the powerset of an array — every possible subset. Provide values; returns array of all subsets.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of disclosure, and it does state the core output: 'returns array of all subsets.' It does not disclose ordering behavior, duplicate-element handling, computational blow-up for large arrays, or failure behavior. The phrase 'Provide values' also conflicts with the empty input schema, creating ambiguity about how the tool is actually invoked.
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 brief and front-loaded, with the core action in the first phrase and a clarifying parenthetical. It wastes few words, though the repetition of 'Powerset' in the lead-in adds marginal noise. Overall, it earns its place as a compact definition.
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?
Given the empty input schema, absent annotations, and no output schema, the description needed to specify exactly how to pass values and what the result shape looks like. It only says 'Provide values; returns array of all subsets,' which leaves the invocation mechanism unresolved. Edge cases such as empty input, duplicate values, and subset ordering are also unaddressed.
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 properties, yet the description says 'Provide values,' implying a required input that no parameter definition supports. It gives no parameter name, type, JSON shape, or example, so an agent cannot reliably construct a valid invocation. Despite the zero-parameter baseline, this gap is critical because the described input is absent from the schema.
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 and resource: 'Generate the powerset of an array — every possible subset.' It clearly communicates the tool's function. However, it does not explicitly differentiate itself from sibling tools like x402-combinations or x402-cartesian-product, so it misses the top sibling-distinction requirement.
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?
It implies when to use it: any time an array's full set of subsets is needed. It does not state when not to use it or mention alternatives such as combinations or permutations. The instruction 'Provide values; returns array of all subsets' gives a minimal usage hint but no explicit decision guidance.
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.