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minia2a-mcp-remote

x402-ai-language

AI Language: Language detection and translation with AI.

Input Schema

NameRequiredDescriptionDefault
textNo
contentNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / content / description
      Removed value: -"Content to process"
    • removedInput schema / properties / text / description
      Removed value: -"Text to process"
  2. First observed

TDQS

C2.2/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden, and it adds almost nothing: 'with AI' is not a behavioral trait. It does not say whether translation returns the source language, the detected language, both, or how quality/latency/auth behave.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short, front-loaded sentence with no filler, which is structurally fine. However, its brevity reflects under-specification rather than efficiency, since essential routing and parameter information is simply absent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, two undocumented parameters, and ambiguity over whether the tool detects, translates, or both, the description is too thin for the tool's surface area. A caller has no basis for constructing a valid request.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description adds no parameter meaning at all. Two near-synonymous string params ('text' and 'content') are left completely undifferentiated, so an agent cannot know which to populate or whether both are required together.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description bundles two distinct capabilities ('Language detection' and 'translation') into one tool without saying which one fires or how, and the schema has no target-language parameter. The resource (language) is named, but an agent cannot tell this apart from siblings like x402-ai-translate or x402-script-detect on capability alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no mention of the obvious alternatives (x402-ai-translate, x402-script-detect) despite a very crowded sibling namespace. The agent is left to guess whether this replaces or complements those tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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