migrate_to_uv
AI agents invoke migrate_to_uv to trigger actions in Pypi:pypreset. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The name 'migrate_to_uv' strongly suggests migrating a Python project's dependency/package management to 'uv' (a fast Python package manager). Migration operations typically involve executing shell commands, modifying project configuration files (pyproject.toml, requirements.txt, etc.), and potentially restructuring the project.
From the tool's definition Tool name: migrate_to_uv — empty description, no further detail provided.
Attacks that exploit this kind of access
migrate_to_uv. It is categorised as a Execute tool in the Pypi:pypreset MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pypi:pypreset MCP server in PolicyLayer and add a rule for migrate_to_uv: 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 Pypi:pypreset. Nothing to install.
migrate_to_uv is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the migrate_to_uv 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 migrate_to_uv. 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.
migrate_to_uv is provided by the Pypi:pypreset MCP server (KaiErikNiermann/pypreset). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
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