gala_launchpad_send_stream_reaction
Send an ephemeral emoji reaction to a live stream. Reactions are broadcast to all viewers via WebSocket but NOT persisted to database. Rate limiting is enforced server-side (burst of 10, then 0.5/sec refill). Requires: 1. WebSocket connected via gala_launchpad_connect_stream_websocket 2. Authenti...
This record as markdown: /tools/gala-chain-gala-mcp-server/gala-launchpad-send-stream-reaction.md
What gala_launchpad_send_stream_reaction does on Gala
AI agents use gala_launchpad_send_stream_reaction to create or update resources in Gala, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gala environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
emoji | string | Yes | Emoji to send (single emoji or short sequence, max 15 chars). Preset: heart, fire, rocket, gem, star. |
tokenName | string | Yes | Token name. |
streamTime | number | — | Current stream timecode in seconds (for viewer sync, defaults to 0). |
Parameters from the server's own tool schema.
Why gala_launchpad_send_stream_reaction is rated Medium
An AI agent can call gala_launchpad_send_stream_reaction faster than any human can review: one bad instruction and it creates or modifies resources in Gala by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs gala_launchpad_send_stream_reaction 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_send_stream_reaction, this is the rule to start with:
gala_launchpad_send_stream_reaction stays usable, but capped: an agent stuck in a loop can't make hundreds of changes 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_send_stream_reaction call is checked against it from then on.
Questions about gala_launchpad_send_stream_reaction
Send an ephemeral emoji reaction to a live stream. Reactions are broadcast to all viewers via WebSocket but NOT persisted to database. Rate limiting is enforced server-side (burst of 10, then 0.5/sec refill). Requires: 1. WebSocket connected via gala_launchpad_connect_stream_websocket 2. Authenticated via wallet signature 3. Subscribed to the stream via gala_launchpad_subscribe_to_stream RETURNS: { sent: true, tokenName, emoji, streamTime } Authentication: Requires wallet signature via WebSocket authentication. It is categorised as a Write tool in the Gala MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
gala_launchpad_send_stream_reaction accepts 3 parameters: emoji, tokenName, streamTime. Required: emoji, tokenName. 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_send_stream_reaction: 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_send_stream_reaction is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the gala_launchpad_send_stream_reaction 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_send_stream_reaction. 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_send_stream_reaction 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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