android_current_app
Get the currently focused app and activity on the Android device.
This record as markdown: /tools/io-github-saloprj-dialogbrain/android-current-app.md
What android_current_app does on Dialogbrain
AI agents call android_current_app to retrieve information from Dialogbrain without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
channel_account_id | integer | — | Android device channel_account ID. Omit when the workspace has a single Android device; REQUIRED when it has more than one (e.g. WhatsApp + LINE), else the call |
Parameters from the server's own tool schema.
Why android_current_app is rated Low
Even though android_current_app only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs android_current_app safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Dialogbrain, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For android_current_app, this is the rule to start with:
android_current_app is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Dialogbrain, apply this rule, and every android_current_app call is checked against it from then on.
Questions about android_current_app
Get the currently focused app and activity on the Android device. It is categorised as a Read tool in the Dialogbrain MCP Server, which means it retrieves data without modifying state.
android_current_app accepts 1 parameter: channel_account_id. The full parameter table on this page comes from the server's own tool schema.
Register the Dialogbrain MCP server in PolicyLayer and add a rule for android_current_app: 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 Dialogbrain. Nothing to install.
android_current_app is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the android_current_app 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 android_current_app. 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.
android_current_app is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Dialogbrain, and thousands of servers like it.
This server
Across the catalogue