Send an RCS (Rich Communication Services) message
AI agents invoke send_rcs to trigger actions in Mcp Ap2. 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.
Sending an RCS message triggers an external communication action — it dispatches a message to a recipient outside the system. This is an external operation with side effects (message delivery), placing it in Execute rather than Write. Misuse could involve sending unsolicited or malicious messages at scale. Severity is medium given the communication blast radius on a payment/agent protocol server.
From the tool's definition Send an RCS (Rich Communication Services) message
Documented attack patterns abuse exactly the kind of access send_rcs gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Ap2, and nothing reaches the server without passing your rules. This is the rule we recommend for send_rcs:
{
"version": "1",
"default": "deny",
"tools": {
"send_rcs": {
"limits": [
{
"counter": "send_rcs_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} send_rcs 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.
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Send an RCS (Rich Communication Services) message. It is categorised as a Execute tool in the Mcp Ap2 MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for send_rcs: 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 Mcp Ap2. Nothing to install.
send_rcs 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 send_rcs 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 send_rcs. 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.
send_rcs is provided by the Mcp Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Ap2, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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