AI agents use broadcast to create or update resources in CC2CC — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CC2CC environment.
This tool creates and sends messages to all known agents on the local machine, which is a Write operation that modifies state (agents receive new messages). The severity is medium because misuse could result in spam, information disclosure, or coordination of malicious actions across multiple agent instances, but the impact is limited to local file-based communication and is reversible (messages can be ignored or…
From the tool's definition Tool name 'broadcast' and description 'Send a message to all known agents' indicates creation/transmission of data (messages) to multiple recipients without permanent deletion or financial impact.
Documented attack patterns abuse exactly the kind of access broadcast gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and CC2CC, and nothing reaches the server without passing your rules. This is the rule we recommend for broadcast:
{
"version": "1",
"default": "deny",
"tools": {
"broadcast": {
"limits": [
{
"counter": "broadcast_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}broadcast stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Send a message to all known agents. It is categorised as a Write tool in the CC2CC MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the CC2CC MCP server in PolicyLayer and add a rule for 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 CC2CC. Nothing to install.
broadcast is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the 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 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.
broadcast is provided by the CC2CC MCP server (non4me/cc2cc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from CC2CC, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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7 CC2CC tools catalogued and risk-classified — across an index of 43,000+ MCP servers.