x402-text-wrap
Text Wrap: Text Wrap
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| w | No | W to process | |
| input | No | Input to process | |
| width | No | Width to process |
Text Wrap: Text Wrap
| Name | Required | Description | Default |
|---|---|---|---|
| w | No | W to process | |
| input | No | Input to process | |
| width | No | Width to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure, and it discloses nothing: no mention of output format, what happens to the input, edge cases, or return behavior. The description is entirely empty of behavioral content.
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 short, but under-specification is not conciseness. The single sentence is a tautology that does not earn its place, and there is no substantive content to front-load.
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 3-parameter tool with zero annotations, no output schema, and cryptic parameter names, this definition is wholly inadequate. An agent cannot determine the input semantics, expected output, or when to choose this tool over its many similar siblings.
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?
Schema coverage is nominally 100%, but every parameter description is the boilerplate "X to process," which conveys no meaning about what 'w', 'input', or 'width' represent. The description adds nothing on top, so an agent cannot tell whether width is in characters, columns, or some other unit.
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 "Text Wrap: Text Wrap" is a pure tautology that restates the tool name twice. It contains no verb, no resource, and no behavior, so an agent cannot determine what this tool actually does beyond guessing from the name.
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. This is especially damaging given the sibling list contains closely related tools like x402-word-wrap, x402-wrap-text, and x402-insert-newlines, with no differentiation provided.
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.