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interzoid_translate_to_english

Read-onlyIdempotent

Detect the language of input text and translate it to English. AI-powered translation supporting numerous world languages. Cost: $0.01 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText in any language to translate to English

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / text / examples
      Added value: +[
      +  "Parigi"
      +]
  2. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds meaningful context beyond annotations: it reveals that the tool performs language detection as part of translation, and it discloses the cost of $0.01 USDC via x402. These are behavioral details not present in the structured data.

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

Conciseness4/5

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

The description is three sentences, front-loaded with the primary purpose, followed by a brief capability note and cost information. It is appropriately sized and every sentence adds value, though the 'AI-powered' phrase is somewhat generic. Overall it is efficient and well-structured.

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

Completeness4/5

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

The tool is simple (one parameter, no output schema) and annotations cover safety traits. The description includes purpose and cost, but does not clarify what the tool returns (e.g., whether it returns both the detected language and the translation). Given the tool's simplicity and annotation coverage, it is nearly complete, but a note on return value would close the gap.

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

Parameters3/5

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

Schema description coverage is 100% (the 'text' property is described as 'Text in any language to translate to English'). The description does not add any parameter-specific details beyond the schema, so it does not increase parameter understanding. Baseline of 3 is appropriate given full schema coverage.

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

Purpose5/5

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

The description explicitly states it detects the language of input text and translates it to English, which is a specific verb+resource. It clearly differentiates from the siblings interzoid_translate_to_any (translation to other languages) and interzoid_identify_language (detection only), so an agent can pick the right tool without opening schemas.

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

Usage Guidelines3/5

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

The description implies usage: if you need English translation of non-English text, use this tool. However, it does not explicitly mention alternatives or when not to use it, leaving the agent to infer from sibling names. No exclusions or direct comparison are provided.

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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