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DeepL
by DeepL

rephrase-text

Rephrase text with adjustable tone and style, or translate it to another language. Suitable for rewriting content.

Instructions

Rephrase text in the same language, or into a different language, using DeepL API

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to rephrase, as a single string or an array of strings handled independently
toneNoWriting tone for rephrasing
styleNoWriting style for rephrasing
targetLangCodeNotarget language code, in standard ISO-639-1 format (e.g. 'en-US', 'de', 'fr') to rephrase into a different language, or leave empty to keep the original language
Behavior2/5

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

No annotations are provided, so the description must carry the behavioral disclosure burden. It only states the core function and external API, without covering return format, side effects, rate limits, or authentication requirements, leaving significant gaps.

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

Conciseness5/5

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

The description is a single, front-loaded sentence that directly states the tool's purpose with no redundant words. It is concise and well-structured.

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?

Without an output schema or annotations, the description should explain expected return values and edge cases (e.g., array handling is in schema, but not what the tool returns). The minimal description leaves the tool's behavior incomplete for an agent to know what to expect.

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?

The input schema provides descriptions for all parameters (100% coverage), so the description adds no additional meaning beyond what is already in the schema. Baseline 3 is appropriate because the schema handles the heavy lifting.

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 rephrases text, optionally into a different language, and specifies the API. This distinguishes it from the sibling 'translate-text' tool by focusing on rephrasing rather than direct translation.

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 use when rephrasing is needed, but it does not explicitly mention alternatives like 'translate-text' or provide when-not-to-use guidance. The context is clear but not differentiated from siblings.

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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