x402-data-transfer
Data Transfer: Data Transfer
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Data Transfer: Data Transfer
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing: no side effects, no permissions or prerequisites, no transfer direction or protocol, no return behavior. A data transfer tool implies movement of data, but the description never says what moves where or what happens on invocation.
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 text is brief, but this is under-specification, not conciseness. Both words simply echo the tool name, and no sentence earns its place by conveying 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?
With no annotations, no output schema, and a vacuous description, an agent cannot determine what the tool does, when to invoke it, what inputs it needs, or what it returns. This is completely inadequate even for a zero-parameter tool because the basic semantics of the transfer operation are wholly undefined.
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 is empty with 0 parameters, so schema coverage is trivially 100%. Per the 0-parameter baseline, there are no parameter semantics the description must clarify; the description adds nothing, but nothing is required for this dimension.
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 'Data Transfer: Data Transfer' is a pure tautology that merely restates the tool name. It provides no verb, no direction, no source/destination, and no scope, giving an agent zero basis to distinguish this tool from hundreds of siblings like x402-data, x402-data-transform, x402-fetch, or x402-store.
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 no guidance on when to use this tool versus any alternative. With sibling tools covering fetch, store, transform, and data operations, an agent has no way to know which one handles a given data-transfer task.
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.