Open a workspace session and return its Desktop Viewport (Hot/Cold/Archive tiers).
AI agents use desktop_open to create or update resources in MCP Roo Memory — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Roo Memory environment.
An AI agent can call desktop_open faster than any human can review — one bad instruction and it creates or modifies resources in MCP Roo Memory by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Open a workspace session and return its Desktop Viewport (Hot/Cold/Archive tiers). It is categorised as a Write tool in the MCP Roo Memory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Roo Memory MCP server in PolicyLayer and add a rule for desktop_open: 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 Roo Memory. Nothing to install.
desktop_open 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 desktop_open 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 desktop_open. 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.
desktop_open is provided by the MCP Roo Memory MCP server (mcasdfgf/mcp-roo-memory). 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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