happ_call_queue_start
Запускает очередь: ассистент начнёт РЕАЛЬНО звонить по номерам в рабочих окнах. Списывает минуты/баланс. (POST /call-queues/:id/start)
This record as markdown: /tools/happ-ai-platform-mcp/happ-call-queue-start.md
What happ_call_queue_start does on Platform
AI agents invoke happ_call_queue_start to trigger actions in Platform. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
queueId | string | Yes | ID очереди |
Parameters from the server's own tool schema.
Why happ_call_queue_start is rated High
happ_call_queue_start 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
The rule that runs happ_call_queue_start safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Platform, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For happ_call_queue_start, this is the rule to start with:
happ_call_queue_start 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Platform, apply this rule, and every happ_call_queue_start call is checked against it from then on.
Questions about happ_call_queue_start
Запускает очередь: ассистент начнёт РЕАЛЬНО звонить по номерам в рабочих окнах. Списывает минуты/баланс. (POST /call-queues/:id/start). It is categorised as a Execute tool in the Platform MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
happ_call_queue_start accepts 1 parameter: queueId. Required: queueId. The full parameter table on this page comes from the server's own tool schema.
Register the Platform MCP server in PolicyLayer and add a rule for happ_call_queue_start: 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 Platform. Nothing to install.
happ_call_queue_start 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 happ_call_queue_start 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 happ_call_queue_start. 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.
happ_call_queue_start is provided by the Platform MCP server (@happ-ai/platform-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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