listen_broadcast
Start listening for specific broadcast messages
This record as markdown: /tools/caravanglory-cocos-mcp-server/listen-broadcast.md
What listen_broadcast does on Cocos
AI agents invoke listen_broadcast to trigger actions in Cocos. 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.
Why listen_broadcast is rated High
This tool registers a listener/subscription for broadcast messages, which triggers an external operation in the Cocos Creator editor. It sets up an ongoing monitoring/callback mechanism rather than simply reading existing data. This is an active operation that affects editor state by establishing event listeners, categorized as Execute.
From the tool's definition Start listening for specific broadcast messages
Attacks that exploit this kind of access
The rule that runs listen_broadcast safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Cocos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For listen_broadcast, this is the rule to start with:
listen_broadcast 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 Cocos, apply this rule, and every listen_broadcast call is checked against it from then on.
Questions about listen_broadcast
Start listening for specific broadcast messages. It is categorised as a Execute tool in the Cocos MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Cocos MCP server in PolicyLayer and add a rule for listen_broadcast: 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 Cocos. Nothing to install.
listen_broadcast 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 listen_broadcast 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 listen_broadcast. 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.
listen_broadcast is provided by the Cocos MCP server (caravanglory/cocos-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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