gala_launchpad_on_ban_enforcement
Watch for user ban enforcement events in real-time. Triggers when users are banned, unbanned, or ban enforcement actions are taken. Includes: - USER_BANNED: User restricted from platform due to policy violation - USER_UNBANNED: Ban lifted, user access restored - BAN_ENFORCEMENT: Enforcement actio...
This record as markdown: /tools/gala-chain-gala-mcp-server/gala-launchpad-on-ban-enforcement.md
What gala_launchpad_on_ban_enforcement does on Gala
AI agents call gala_launchpad_on_ban_enforcement to retrieve information from Gala without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
reason | string | — | Filter by ban reason (optional). |
tokenName | string | — | Filter bans for a specific token (optional). |
actionType | string | — | Filter by action type (optional). |
intervalMs | number | — | Poll interval in milliseconds (default: 30000 / 30 seconds). |
userAddress | string | — | Only watch bans for this user (optional). |
durationSeconds | number | — | How long to watch for new events in seconds (default: 60). |
Parameters from the server's own tool schema.
Why gala_launchpad_on_ban_enforcement is rated Low
Even though gala_launchpad_on_ban_enforcement only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs gala_launchpad_on_ban_enforcement 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_on_ban_enforcement, this is the rule to start with:
gala_launchpad_on_ban_enforcement is read-only, so it stays allowed. 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_on_ban_enforcement call is checked against it from then on.
Questions about gala_launchpad_on_ban_enforcement
Watch for user ban enforcement events in real-time. Triggers when users are banned, unbanned, or ban enforcement actions are taken. Includes: - USER_BANNED: User restricted from platform due to policy violation - USER_UNBANNED: Ban lifted, user access restored - BAN_ENFORCEMENT: Enforcement action taken (message deletion, chat suspension, etc.) Returns: - banActionsEnforced: Number of ban enforcement events detected - events: Array of ban events with userAddress, actionType, reason, tokenName, and timestamp Filter Options: - userAddress: Only watch bans for a specific user - actionType: Filter by action type ('BANNED', 'UNBANNED', or 'ENFORCEMENT') - tokenName: Only watch bans related to a specific token - reason: Filter by ban reason or violation type. It is categorised as a Read tool in the Gala MCP Server, which means it retrieves data without modifying state.
gala_launchpad_on_ban_enforcement accepts 6 parameters: reason, tokenName, actionType, intervalMs, userAddress, durationSeconds. 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_on_ban_enforcement: 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_on_ban_enforcement is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the gala_launchpad_on_ban_enforcement 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_on_ban_enforcement. 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_on_ban_enforcement 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.
More on Gala, and thousands of servers like it.
This server
Across the catalogue