simulate_gameplay_scenario
Run a sequence of gameplay actions (input, wait, check) as an automated scenario
This record as markdown: /tools/keeveeg-godot-mcp/simulate-gameplay-scenario.md
What simulate_gameplay_scenario does on Godot
AI agents invoke simulate_gameplay_scenario to trigger actions in Godot. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
scenario | array | Yes | Ordered list of gameplay actions to execute |
Parameters from the server's own tool schema.
Why simulate_gameplay_scenario is rated High
The 'Run a sequence' verb and 'automated scenario' execution model indicate this tool triggers external operations (simulated gameplay) whose effects depend on the sequence of actions provided as arguments. This is classic Execute category behavior — it performs work in an external system rather than simply reading or writing data.
From the tool's definition Tool description: 'Run a sequence of gameplay actions (input, wait, check) as an automated scenario' — explicitly runs/executes gameplay actions.
Attacks that exploit this kind of access
The rule that runs simulate_gameplay_scenario safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Godot, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For simulate_gameplay_scenario, this is the rule to start with:
simulate_gameplay_scenario 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Godot, apply this rule, and every simulate_gameplay_scenario call is checked against it from then on.
Questions about simulate_gameplay_scenario
Run a sequence of gameplay actions (input, wait, check) as an automated scenario. It is categorised as a Execute tool in the Godot MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
simulate_gameplay_scenario accepts 1 parameter: scenario. Required: scenario. The full parameter table on this page comes from the server's own tool schema.
Register the Godot MCP server in PolicyLayer and add a rule for simulate_gameplay_scenario: 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 Godot. Nothing to install.
simulate_gameplay_scenario 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 simulate_gameplay_scenario 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 simulate_gameplay_scenario. 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.
simulate_gameplay_scenario is provided by the Godot MCP server (@keeveeg/godot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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