x402-ai-translate
AI Translate: Translate text with AI.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| to | No | To to process | |
| target | No | Target to process | |
| content | No | Content to process |
AI Translate: Translate text with AI.
| Name | Required | Description | Default |
|---|---|---|---|
| to | No | To to process | |
| target | No | Target to process | |
| content | No | Content to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, but it only restates that text is translated and adds no detail about language codes, input direction, output format, or constraints. It is not misleading, yet it leaves the tool's behavior almost entirely unspecified.
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 it wastes its limited space by repeating the name ('AI Translate') and adding the redundant phrase 'with AI'. It is not poorly organized, just under-specified for the amount of content it could convey.
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 no output schema and no annotations, the description should clarify what the three parameters mean and what the translated result looks like. It also fails to mention supported languages or how source/target languages are specified, making it incomplete for reliable invocation.
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 100%, so the schema already gives some weak meaning to 'to', 'target', and 'content'. The description adds no parameter explanation, and without it an agent cannot tell whether 'to' is the source language, target language, or recipient; still, the high schema coverage sets the baseline at 3.
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 clearly states the tool translates text with AI, a specific verb and resource. It does not explicitly differentiate from closely related siblings like x402-ai-language or x402-ai-rewrite, but the core purpose is unambiguous.
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 provided on when to use this tool instead of alternatives such as x402-ai-language, language-detect, or ai-rewrite. The agent must infer the usage context entirely from the name and the one-line description.
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.