collect_scale_timeline
AI agents invoke collect_scale_timeline to trigger actions in Vibe Stack MCP. 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.
collect_scale_timeline triggers real processes with real consequences. An agent gone sideways doesn't fire it once — it starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
collect_scale_timeline. It is categorised as a Execute tool in the Vibe Stack MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Vibe Stack MCP server in PolicyLayer and add a rule for collect_scale_timeline: 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 Vibe Stack MCP. Nothing to install.
collect_scale_timeline 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 collect_scale_timeline 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 collect_scale_timeline. 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.
collect_scale_timeline is provided by the Vibe Stack MCP server (memextech/vibe-plan-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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