New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

runtime_node_remove

Remove (queue_free) a node from the LIVE running game. DESTRUCTIVE — gated by confirmation. Refuses to remove the current scene root.

SERVERBreakpoint SOURCEbreakpoint-mcp
Critical RISK CLASS
Category Destructive
Parameters 31 required
Recommended Hiddensee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/breakpoint-mcp/runtime-node-remove.md

What runtime_node_remove does on Breakpoint

AI agents call runtime_node_remove to permanently remove resources in Breakpoint, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

ParameterTypeRequiredDescription
path string Yes Path to the node to remove in the running scene
peer string Target a headless peer by id (from runtime_spawn_peers). Omit to address the default running game.
confirm boolean Auto-approve this destructive action (skip the confirmation prompt)

Parameters from the server's own tool schema.

Why runtime_node_remove is rated Critical

This tool irreversibly deletes nodes from an active game scene. While it is gated by confirmation and refuses to remove the scene root (mitigating controls), the deletion of game nodes cannot be undone and materially alters the live game state.

From the tool's definition Tool description explicitly states "Remove (queue_free) a node from the LIVE running game. DESTRUCTIVE" and mentions it removes from a live running game instance.

Risk signalsAccepts file system path (path) · Admin/system-level operation

Questions about runtime_node_remove

What does the runtime_node_remove tool do? +

Remove (queue_free) a node from the LIVE running game. DESTRUCTIVE — gated by confirmation. Refuses to remove the current scene root. It is categorised as a Destructive tool in the Breakpoint MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

What parameters does runtime_node_remove accept? +

runtime_node_remove accepts 3 parameters: path, peer, confirm. Required: path. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on runtime_node_remove? +

Register the Breakpoint MCP server in PolicyLayer and add a rule for runtime_node_remove: 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.

What risk level is runtime_node_remove? +

runtime_node_remove is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit runtime_node_remove? +

Yes. Add a rate_limit block to the runtime_node_remove 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.

How do I block runtime_node_remove completely? +

Set action: deny in the PolicyLayer policy for runtime_node_remove. 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.

What MCP server provides runtime_node_remove? +

runtime_node_remove 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.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Breakpoint's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.