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

runtime_anim_play

Play an animation on a LIVE AnimationPlayer node. DESTRUCTIVE (drives the running game) — gated by confirmation. Omit animation to (re)play the currently-assigned one.

SERVERBreakpoint SOURCEbreakpoint-mcp
Medium RISK CLASS
Category Write
Parameters 61 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/breakpoint-mcp/runtime-anim-play.md

What runtime_anim_play does on Breakpoint

AI agents use runtime_anim_play to create or update resources in Breakpoint, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Breakpoint environment.

ParameterTypeRequiredDescription
path string Yes Path to an AnimationPlayer node in the running scene
peer string — Headless peer id from runtime_spawn_peers; omit for the default running game.
confirm boolean — Skip the confirmation prompt (auto-approve)
from_end boolean — Start playback from the end (default false)
animation string — Animation name to play (default: the current/assigned animation)
custom_speed number — Playback speed multiplier (default 1.0; negative not supported here)

Parameters from the server's own tool schema.

Why runtime_anim_play is rated Medium

An AI agent can call runtime_anim_play faster than any human can review: one bad instruction and it creates or modifies resources in Breakpoint by the hundred, each call as confident as the last.

Risk signalsAccepts file system path (path)

Questions about runtime_anim_play

What does the runtime_anim_play tool do? +

Play an animation on a LIVE AnimationPlayer node. DESTRUCTIVE (drives the running game) — gated by confirmation. Omit animation to (re)play the currently-assigned one. It is categorised as a Write tool in the Breakpoint MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does runtime_anim_play accept? +

runtime_anim_play accepts 6 parameters: path, peer, confirm, from_end, animation, custom_speed. 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_anim_play? +

Register the Breakpoint MCP server in PolicyLayer and add a rule for runtime_anim_play: 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_anim_play? +

runtime_anim_play is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit runtime_anim_play? +

Yes. Add a rate_limit block to the runtime_anim_play 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_anim_play completely? +

Set action: deny in the PolicyLayer policy for runtime_anim_play. 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_anim_play? +

runtime_anim_play 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

// 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.