This record as markdown: /tools/io-github-fullread-deepadb/adb-input-drag.md
What adb_input_drag does on Deepadb
AI agents invoke adb_input_drag 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_input_drag is rated High
This tool performs a UI interaction (drag gesture) on an Android device screen via ADB. It triggers an external operation on a connected device whose effects depend on the coordinates and duration provided. It's not purely reading data, but executing a device input action that could manipulate UI state, move items, or trigger app behaviors.
From the tool's definition Drag from one point to another on screen. Uses Android
Attacks that exploit this kind of access
The rule that runs adb_input_drag 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_input_drag, this is the rule to start with:
adb_input_drag 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_input_drag call is checked against it from then on.
Questions about adb_input_drag
Drag from one point to another on screen. Uses Android. 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_input_drag: 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_input_drag 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_input_drag 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_input_drag. 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_input_drag 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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