Execute a batch of DSL commands on a device. This is the primary tool for all device interaction — tap, type, swipe, observe, launch apps, assertions, web automation, and more. You MUST read the MCP resource mobai://reference/device-automation to learn how to control devices before using this too...
Part of the Mobai server.
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AI agents invoke execute_dsl to trigger processes or run actions in Mobai. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
execute_dsl can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"execute_dsl": {
"limits": [
{
"counter": "execute_dsl_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Mobai policy for all 20 tools.
These attack patterns abuse exactly the kind of access execute_dsl gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Execute a batch of DSL commands on a device. This is the primary tool for all device interaction — tap, type, swipe, observe, launch apps, assertions, web automation, and more. You MUST read the MCP resource mobai://reference/device-automation to learn how to control devices before using this tool. Input: JSON string with "version": "0.2" and "steps" array. Example: {"version":"0.2","steps":[ {"action":"open_app","bundle_id":"com.apple.Preferences"}, {"action":"tap","predicate":{"text_contains":"Wi-Fi"}}, {"action":"wait_for","predicate":{"type":"switch"},"timeout_ms":3000} ]}. It is categorised as a Execute tool in the Mobai MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mobai MCP server in PolicyLayer and add a rule for execute_dsl: 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 Mobai. Nothing to install.
execute_dsl 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 execute_dsl 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 execute_dsl. 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.
execute_dsl is provided by the Mobai MCP server (MobAI-App/mobai-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 20 Mobai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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