adb_farm_run

Run tests on Firebase Test Lab. Uploads an APK and test APK, executes instrumented tests across specified device models and API levels. Requires gcloud CLI authenticated with a Firebase project.

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-farm-run.md

WHAT IT DOES

What adb_farm_run does on Deepadb

AI agents invoke adb_farm_run 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_farm_run is rated High

This tool triggers remote test execution on Firebase's infrastructure. It uploads and executes code (test APK) against multiple device configurations, making it an Execute-category tool. The severity is high because a malicious agent could upload arbitrary test APK files designed to exfiltrate data, perform reconnaissance, or cause unintended side effects across multiple device models.

From the tool's definition Tool performs 'Run tests on Firebase Test Lab', 'Uploads an APK and test APK', 'executes instrumented tests across specified device models'.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs adb_farm_run 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_farm_run, this is the rule to start with:

adb_farm_run Rate-limited

adb_farm_run 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_farm_run": {
      "limits": [
        {
          "counter": "adb_farm_run_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_farm_run call is checked against it from then on.

FAQ

Questions about adb_farm_run

What does the adb_farm_run tool do? +

Run tests on Firebase Test Lab. Uploads an APK and test APK, executes instrumented tests across specified device models and API levels. Requires gcloud CLI authenticated with a Firebase project. 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_farm_run? +

Register the Deepadb MCP server in PolicyLayer and add a rule for adb_farm_run: 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_farm_run? +

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

Can I rate-limit adb_farm_run? +

Yes. Add a rate_limit block to the adb_farm_run 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_farm_run completely? +

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

adb_farm_run 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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