Run a declarative app workflow from config/apps.json. Optionally capture a full evidence session.
AI agents invoke android_run_workflow to trigger actions in DevLab MCP Suite. 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.
This tool executes workflows against Android devices, which can perform arbitrary app interactions, state changes, and capture operations. While workflows are 'declarative' and pre-defined in config, the tool's purpose is to trigger automated operations whose side effects depend on workflow content.
From the tool's definition Tool description states 'Run a declarative app workflow' — this triggers external operations on Android devices whose effects depend on the workflow configuration arguments.
Attacks that exploit this kind of access
Run a declarative app workflow from config/apps.json. Optionally capture a full evidence session. It is categorised as a Execute tool in the DevLab MCP Suite MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the DevLab MCP Suite MCP server in PolicyLayer and add a rule for android_run_workflow: 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 DevLab MCP Suite. Nothing to install.
android_run_workflow 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 android_run_workflow 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_run_workflow. 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_run_workflow is provided by the DevLab MCP Suite MCP server (tanguito86/devlab-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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