shizuku_resize
AI agents invoke shizuku_resize to trigger actions in Android MCP Server. 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.
Shizuku is a privileged Android API service that grants elevated system permissions. A 'resize' operation via Shizuku likely involves resizing windows, displays, or app layouts at a system level using privileged APIs.
From the tool's definition Tool name 'shizuku_resize' and server context: 'Android MCP server with 120+ tools for screen manipulation, system operations via Termux/Shizuku'
Attacks that exploit this kind of access
shizuku_resize. It is categorised as a Execute tool in the Android MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Android MCP Server MCP server in PolicyLayer and add a rule for shizuku_resize: 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 Android MCP Server. Nothing to install.
shizuku_resize 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 shizuku_resize 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 shizuku_resize. 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.
shizuku_resize is provided by the Android MCP Server MCP server (wujie272/android-mcp). 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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