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navi_translate

Translate text into any target language using context-aware AI. Receive accurate translations with transparent usage-based pricing.

Instructions

AI-powered text translation between any languages. Powered by Claude AI. Send text and target language, receive a high-quality translation with context awareness. Usage-based pricing from $0.004, scaled by text length and target language (up to $0.020 for long or non-Latin text). The exact price for your text is returned in the 402 payment challenge before you pay. (Paid via x402: $0.004 USDC per call on Base, settled automatically.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to translate
target_languageYesTarget language (e.g. french, spanish, arabic, japanese)
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses pricing behavior, including usage-based scaling, the 402 payment challenge, and the payment mechanism (x402, USDC on Base). This is valuable context beyond the schema. It does not cover rate limits or error handling, but for a paid translation tool it is quite transparent.

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 front-loaded with the main purpose and follows with pricing details. It is slightly verbose due to repetition of pricing information ('Usage-based pricing' and the parenthetical about x402), but still remains reasonably concise and scannable.

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?

For a simple two-parameter translation tool with no output schema, the description is fairly complete. It explains the return value ('high-quality translation'), the cost structure, and the payment flow. It could mention the exact response format, but that's not critical given the simplicity.

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% for both parameters (text and target_language), so the baseline is 3. The description adds slight context by mentioning that pricing scales with text length and target language, but it does not add essential meaning beyond the schema's parameter descriptions.

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 clearly states the tool's function: 'AI-powered text translation between any languages.' It uses a specific verb (translate) and resource (text), and distinguishes itself from sibling tools which cover unrelated domains like crypto, weather, and URL previews.

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

Usage Guidelines4/5

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

The description tells the user to 'Send text and target language' and what they will receive. While it doesn't explicitly exclude alternative tools or state when not to use it, the sibling tools are so unrelated that the intended usage is clear. It could benefit from explicit alternatives, but context is sufficient.

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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