colab_drive_upload
AI agents use colab_drive_upload to create or update resources in Mcp Colab Gpu — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Colab Gpu environment.
This tool uploads files to Google Drive, which is a data modification operation that creates or stores data reversibly. While the description is empty (lowering confidence slightly), the name and server context leave little doubt about its write functionality. Severity is high because an AI agent could upload sensitive data, overwrite important files, or fill storage quota if misused.
From the tool's definition Tool name 'colab_drive_upload' indicates uploading/writing data to Google Drive. Server description confirms 'Google Drive integration'. No description provided for the tool itself, but the name and server context make the write operation clear.
Attacks that exploit this kind of access
colab_drive_upload. It is categorised as a Write tool in the Mcp Colab Gpu MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Colab Gpu MCP server in PolicyLayer and add a rule for colab_drive_upload: 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 Mcp Colab Gpu. Nothing to install.
colab_drive_upload 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 colab_drive_upload 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 colab_drive_upload. 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.
colab_drive_upload is provided by the Mcp Colab Gpu MCP server (mio-github/mcp-colab-gpu). 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.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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