x402-zip
Zip: Zip two arrays together into pairs. Provide a (or x) and b (or y) arrays; returns array of [a[i], b[i]] pairs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Zip: Zip two arrays together into pairs. Provide a (or x) and b (or y) arrays; returns array of [a[i], b[i]] pairs.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden and does disclose the core contract: two input arrays (a or x, b or y), index-wise pairing, and an array-of-pairs return shape. However, it is silent on important edge behavior—most notably what happens when the arrays differ in length (truncate, pad, error?)—and on any input type requirements. There is no annotation contradiction since no annotations exist.
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 compact—two sentences with no filler—and front-loads the purpose before detailing inputs and output shape. The leading 'Zip:' label slightly echoes the tool name and is mildly redundant, but otherwise every word contributes useful information.
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 simple utility, the description covers the essential contract—inputs, aliases, and output format—which matters greatly given the empty schema and absent annotations and output schema. The notable gap is undefined behavior for unequal-length arrays, a common real-world question for zip functions, and given the massive sibling list, explicit usage routing would have added further completeness.
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 is entirely empty (0 properties), which sets the baseline at 4; the description compensates by naming the parameters (a and b) and further disclosing aliases (x and y), which is genuine added value beyond the schema. It stops short of stating whether both arrays are required or how they are passed, so it does not exceed a 4.
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 ('Zip') with a concrete resource ('two arrays together into pairs') and defines the output precisely as 'array of [a[i], b[i]] pairs', which communicates index-wise pairing. This implicitly distinguishes it from sibling operations like x402-cartesian-product or x402-combinations, though it never names an alternative explicitly.
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 on when to use this tool versus alternatives, or when not to use it. The description explains only the mechanics; it does not address edge scenarios like uneven array lengths, prerequisite validation, or situations where a sibling array tool would be more appropriate. The agent is left to infer usage entirely.
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.