gala_launchpad_trigger_ai_moderation
Trigger AI moderation for a content flag. Queues flagged content for AI moderation. Moderation runs asynchronously - use gala_launchpad_get_ai_moderation_result to poll for results or listen for the AI_MODERATION_COMPLETE WebSocket event. For video content with tiered analysis enabled: - Quick sc...
This record as markdown: /tools/gala-chain-gala-mcp-server/gala-launchpad-trigger-ai-moderation.md
What gala_launchpad_trigger_ai_moderation does on Gala
AI agents invoke gala_launchpad_trigger_ai_moderation to trigger actions in Gala. 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 |
|---|---|---|---|
flagId | number | Yes | Flag ID to moderate (positive integer) |
Parameters from the server's own tool schema.
Why gala_launchpad_trigger_ai_moderation is rated High
gala_launchpad_trigger_ai_moderation 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.
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
The rule that runs gala_launchpad_trigger_ai_moderation safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Gala, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gala_launchpad_trigger_ai_moderation, this is the rule to start with:
gala_launchpad_trigger_ai_moderation 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 Gala, apply this rule, and every gala_launchpad_trigger_ai_moderation call is checked against it from then on.
Questions about gala_launchpad_trigger_ai_moderation
Trigger AI moderation for a content flag. Queues flagged content for AI moderation. Moderation runs asynchronously - use gala_launchpad_get_ai_moderation_result to poll for results or listen for the AI_MODERATION_COMPLETE WebSocket event. For video content with tiered analysis enabled: - Quick scan runs first (5 frames at 480px) - If concerns found, detailed scan runs (20 frames at 640px) RETURNS: { queued: boolean, message: string } Authentication: Requires streamAdminApiKey (admin) OR JWT auth (overseer). It is categorised as a Execute tool in the Gala MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
gala_launchpad_trigger_ai_moderation accepts 1 parameter: flagId. Required: flagId. The full parameter table on this page comes from the server's own tool schema.
Register the Gala MCP server in PolicyLayer and add a rule for gala_launchpad_trigger_ai_moderation: 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 Gala. Nothing to install.
gala_launchpad_trigger_ai_moderation 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 gala_launchpad_trigger_ai_moderation 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 gala_launchpad_trigger_ai_moderation. 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.
gala_launchpad_trigger_ai_moderation is provided by the Gala MCP server (@gala-chain/gala-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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