High Risk →

drag

Drag from one point to another (slow, smooth)

How to control drag ↓

What drag does on ScreenHand

AI agents invoke drag to trigger actions in ScreenHand. 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.

High Risk

Why drag needs a policy

This tool performs a native desktop UI action — dragging between screen coordinates — which can trigger arbitrary application behavior depending on context (e.g., moving files, resizing windows, reordering UI elements). It is an active execution of a UI interaction via Accessibility APIs, making it Execute.

From the tool's definition Drag from one point to another (slow, smooth)

Documented attack patterns abuse exactly the kind of access drag gives an agent:

How to control drag

PolicyLayer is an MCP gateway — it sits between your AI agents and ScreenHand, and nothing reaches the server without passing your rules. This is the rule we recommend for drag:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "drag": {
      "limits": [
        {
          "counter": "drag_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

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.

  1. Create a free account and register ScreenHand — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about drag

What does the drag tool do? +

Drag from one point to another (slow, smooth). It is categorised as a Execute tool in the ScreenHand MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on drag? +

Register the ScreenHand MCP server in PolicyLayer and add a rule for 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 ScreenHand. Nothing to install.

What risk level is drag? +

drag is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit drag? +

Yes. Add a rate_limit block to the 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.

How do I block drag completely? +

Set action: deny in the PolicyLayer policy for 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.

What MCP server provides drag? +

drag is provided by the ScreenHand MCP server (manushi4/screenhand). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every ScreenHand tool call.

Start from ScreenHand, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

89 ScreenHand tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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