runtime_seed_rng
Seed the running game's GLOBAL random number generator (GDScript seed()) so a playtest is reproducible. DESTRUCTIVE (changes RNG state) — gated by confirmation. Seeds only the global RNG (randi/randf), not per-instance RandomNumberGenerators or physics determinism. IMPORTANT when comparing peers:...
This record as markdown: /tools/breakpoint-mcp/runtime-seed-rng.md
What runtime_seed_rng does on Breakpoint
AI agents invoke runtime_seed_rng to trigger actions in Breakpoint. 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 |
|---|---|---|---|
peer | string | — | Target a headless peer by id (from runtime_spawn_peers). Omit to address the default running game. |
seed | integer | Yes | Seed value for the global RNG |
confirm | boolean | — | Auto-approve this destructive action (skip the confirmation prompt) |
Parameters from the server's own tool schema.
Why runtime_seed_rng is rated High
This tool modifies the global RNG state of a running game process, which is an external runtime operation with side effects. While described as 'DESTRUCTIVE' in the description, it doesn't irreversibly delete or overwrite data — it changes runtime state in a way that can be re-seeded.
From the tool's definition Seed the running game's GLOBAL random number generator (GDScript seed()) so a playtest is reproducible. DESTRUCTIVE (changes RNG state) — gated by confirmation.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs runtime_seed_rng safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Breakpoint, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For runtime_seed_rng, this is the rule to start with:
runtime_seed_rng 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 Breakpoint, apply this rule, and every runtime_seed_rng call is checked against it from then on.
Questions about runtime_seed_rng
Seed the running game's GLOBAL random number generator (GDScript seed()) so a playtest is reproducible. DESTRUCTIVE (changes RNG state) — gated by confirmation. Seeds only the global RNG (randi/randf), not per-instance RandomNumberGenerators or physics determinism. IMPORTANT when comparing peers: this is ONE stream shared by every caller in the project, and FREEZING DOES NOT STOP IT BEING CONSUMED — time_scale 0 makes delta 0 but _process/_physics_process still fire, so code that draws unconditionally burns draws at wall-clock rate even while frozen, including in the gap between this call and runtime_step_frames. For peers to converge the global stream must be consumed ONLY on frames you are actually stepping: guard draws on delta > 0, and give idle-frame code its own RandomNumberGenerator. Measured on real Godot 4.3 — with both, three peers converge byte-equal even with a deliberate stagger between each peer's seed and step; with either violated, they diverge every time. It is categorised as a Execute tool in the Breakpoint MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
runtime_seed_rng accepts 3 parameters: peer, seed, confirm. Required: seed. The full parameter table on this page comes from the server's own tool schema.
Register the Breakpoint MCP server in PolicyLayer and add a rule for runtime_seed_rng: 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 Breakpoint. Nothing to install.
runtime_seed_rng 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 runtime_seed_rng 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 runtime_seed_rng. 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.
runtime_seed_rng is provided by the Breakpoint MCP server (breakpoint-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Breakpoint, and thousands of servers like it.
Across the catalogue