adb_wait_stable

SERVERDeepadb SOURCEdeepadb

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-fullread-deepadb/adb-wait-stable.md

WHAT IT DOES

What adb_wait_stable does on Deepadb

AI agents invoke adb_wait_stable 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.

RISK

Why adb_wait_stable is rated High

adb_wait_stable performs an active operation (polling the UI hierarchy) and waits for a condition to be met. While it does not modify data or execute arbitrary commands, it does trigger repeated read operations on device state and blocks execution until a condition changes. This is Execute rather than Read because it involves waiting/polling behavior that controls execution flow and timing on the target device.

From the tool's definition The tool polls the UI hierarchy and monitors for state changes, performing repeated checks of the device's UI structure. This constitutes executing an operation on the connected Android device via ADB that triggers polling behavior and waits for completion.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs adb_wait_stable 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_wait_stable, this is the rule to start with:

adb_wait_stable Rate-limited

adb_wait_stable 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "adb_wait_stable": {
      "limits": [
        {
          "counter": "adb_wait_stable_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Deepadb, apply this rule, and every adb_wait_stable call is checked against it from then on.

FAQ

Questions about adb_wait_stable

What does the adb_wait_stable tool do? +

Wait for the UI to stabilize. Polls the UI hierarchy and waits until consecutive dumps produce the same element count and structure. Useful after screen transitions, animations, or content loading before interacting with elements. 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.

How do I enforce a policy on adb_wait_stable? +

Register the Deepadb MCP server in PolicyLayer and add a rule for adb_wait_stable: 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.

What risk level is adb_wait_stable? +

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

Can I rate-limit adb_wait_stable? +

Yes. Add a rate_limit block to the adb_wait_stable 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 adb_wait_stable completely? +

Set action: deny in the PolicyLayer policy for adb_wait_stable. 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 adb_wait_stable? +

adb_wait_stable 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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