AI agents invoke stop_streaming to trigger actions in Obs. 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.
This tool executes a command that causes an immediate, observable side effect: terminating an active stream to an external service. While not destructive (the stream can be restarted) or financial, it is an Execute-category action because it triggers an external operation with real-world consequences.
From the tool's definition Tool name 'stop_streaming' and description 'Stop OBS streaming' indicate the tool triggers an external operation (streaming service control) whose effects depend on the streaming state and configuration arguments.
Attacks that exploit this kind of access
Stop OBS streaming. It is categorised as a Execute tool in the Obs MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Obs MCP server in PolicyLayer and add a rule for stop_streaming: 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 Obs. Nothing to install.
stop_streaming 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 stop_streaming 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 stop_streaming. 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.
stop_streaming is provided by the Obs MCP server (larscangit/obs-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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