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. Read the MCP resource mobai://reference/device-automation to learn how to control devices before using this tool. Inpu...
Part of the Mobai MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
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. Intercept 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.
tools:
execute_dsl:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Mobai policy for all 23 tools.
Agents calling execute-class tools like execute_dsl have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
execute_dsl is one of the high-risk operations in Mobai. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
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. 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.
Add a rule in your Intercept YAML policy under the tools section for execute_dsl. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Mobai MCP server.
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 Intercept 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 Intercept 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-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept