resume_live_stream
AI agents invoke resume_live_stream to trigger actions in Tencent Cloud Live MCP Server. 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.
Based on the tool name and server context, 'resume_live_stream' likely triggers an external operation to resume a paused or interrupted live stream. This falls under Execute as it triggers an external operational state change. The description is empty, so confidence is reduced. Severity is high because resuming a live stream can have significant broadcast and audience impact if misused.
From the tool's definition Tool name 'resume_live_stream' in context of a live streaming management server; description is empty and uninformative.
Attacks that exploit this kind of access
resume_live_stream. It is categorised as a Execute tool in the Tencent Cloud Live MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Tencent Cloud Live MCP Server MCP server in PolicyLayer and add a rule for resume_live_stream: 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 Tencent Cloud Live MCP Server. Nothing to install.
resume_live_stream 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 resume_live_stream 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 resume_live_stream. 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.
resume_live_stream is provided by the Tencent Cloud Live MCP Server MCP server (willsygao/tencentcloud-live-mcp-server). 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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