gala_launchpad_get_comments
Query comments with tokenName/userAddress filters. Returns paginated list of comments matching the filter criteria using cursor-based pagination. At least one of tokenName or userAddress must be provided. Public endpoint - no authentication required. Each comment includes: - id: Unique message ID...
This record as markdown: /tools/gala-chain-gala-mcp-server/gala-launchpad-get-comments.md
What gala_launchpad_get_comments does on Gala
AI agents call gala_launchpad_get_comments 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 |
|---|---|---|---|
cursor | string | — | Cursor from previous response (omit for first page). |
pageSize | integer | — | Results per page (default: 20, maximum: 100) |
tokenName | string | — | Filter by token name (e.g., "anime"). |
userAddress | string | — | Filter by user wallet address (eth|... or 0x... format). |
Parameters from the server's own tool schema.
Why gala_launchpad_get_comments is rated Low
Even though gala_launchpad_get_comments 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_get_comments 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_get_comments, this is the rule to start with:
gala_launchpad_get_comments 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_get_comments call is checked against it from then on.
Questions about gala_launchpad_get_comments
Query comments with tokenName/userAddress filters. Returns paginated list of comments matching the filter criteria using cursor-based pagination. At least one of tokenName or userAddress must be provided. Public endpoint - no authentication required. Each comment includes: - id: Unique message ID (for updates/deletes) - tokenName, tokenImage: Pool information - userAddress, userProfile: Author information - content: Comment text - createdAt, updatedAt: Timestamps - reactions: Reaction counts by emoji type - flagCount: Number of flags against this comment - holderTier?: Token holder tier badge ({ tier: 0-5, tierName: string }) RETURNS: { messages: [...], pageInfo: { hasNextPage, endCursor, hasPreviousPage, startCursor } }. It is categorised as a Read tool in the Gala MCP Server, which means it retrieves data without modifying state.
gala_launchpad_get_comments accepts 4 parameters: cursor, pageSize, tokenName, userAddress. 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_get_comments: 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_get_comments 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_get_comments 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_get_comments. 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_get_comments 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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