This record as markdown: /tools/io-github-fullread-deepadb/adb-qemu-disconnect.md
What adb_qemu_disconnect does on Deepadb
AI agents invoke adb_qemu_disconnect to trigger actions in Deepadb. 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.
Why adb_qemu_disconnect is rated High
This tool terminates a connection to a QEMU virtual machine. It triggers an external operation (disconnecting from a VM) that has side effects — ending an active session — but does not delete data or move money. 'Execute' is the best fit as it performs an action on an external system whose effects depend on the current connection state.
From the tool's definition Disconnect from a QEMU VM
Attacks that exploit this kind of access
The rule that runs adb_qemu_disconnect safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Deepadb, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For adb_qemu_disconnect, this is the rule to start with:
adb_qemu_disconnect stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Deepadb, apply this rule, and every adb_qemu_disconnect call is checked against it from then on.
Questions about adb_qemu_disconnect
Disconnect from a QEMU VM. It is categorised as a Execute tool in the Deepadb MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Deepadb MCP server in PolicyLayer and add a rule for adb_qemu_disconnect: 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 Deepadb. Nothing to install.
adb_qemu_disconnect 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 adb_qemu_disconnect 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 adb_qemu_disconnect. 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.
adb_qemu_disconnect is provided by the Deepadb MCP server (deepadb). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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