This record as markdown: /tools/deepl/rephrase-text.md
What rephrase-text does on DeepL
AI agents use rephrase-text to create or update resources in DeepL, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your DeepL environment.
Why rephrase-text is rated Medium
This tool modifies/transforms text by rephrasing it. It creates a new version of the input text, which is a reversible write/transform operation. No data is deleted, no code is executed, and no financial transaction occurs. The blast radius is low since it only affects the text passed to it.
From the tool's definition Rephrase text in the same or different language
Risk signalsConsumes DeepL API credits
Attacks that exploit this kind of access
The rule that runs rephrase-text safely
PolicyLayer is an MCP gateway: it sits between your AI agents and DeepL, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For rephrase-text, this is the rule to start with:
rephrase-text stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect DeepL, apply this rule, and every rephrase-text call is checked against it from then on.
Questions about rephrase-text
Rephrase text in the same or different language. It is categorised as a Write tool in the DeepL MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the DeepL MCP server in PolicyLayer and add a rule for rephrase-text: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches DeepL. Nothing to install.
rephrase-text is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the rephrase-text rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for rephrase-text. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
rephrase-text is provided by the DeepL MCP server (@deepl-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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