gala_launchpad_graduate_token
Graduate a token pool by buying all remaining tokens in one transaction. WORKFLOW (automatic): 1. Calls calculateBuyAmountForGraduation() internally 2. Executes buy() with exact remaining token amount 3. Returns transaction result Performance optimization: Provide currentSupply to avoid fetching ...
This record as markdown: /tools/gala-chain-gala-mcp-server/gala-launchpad-graduate-token.md
What gala_launchpad_graduate_token does on Gala
AI agents call gala_launchpad_graduate_token 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 |
|---|---|---|---|
tokenName | string | Yes | Token name. |
privateKey | string | — | Optional private key override for this operation (format: "0x" + 64 hex characters). If provided, uses this wallet instead of the default MCP server wallet. |
currentSupply | string | — | Current token supply (optional - only used for local mode, auto-fetched if missing). |
calculateAmountMode | string | — | Calculation mode override (optional - defaults to SDK's calculateAmountMode). Use CALCULATION_MODES.LOCAL for instant client-side calculations. Use CALCULATION_ |
slippageToleranceFactor | number | — | Decimal format (0.05 = 5% slippage). |
maxAcceptableReverseBondingCurveFeeSlippageFactor | number | — | Optional slippage tolerance for reverse bonding curve fee (decimal, e.g., 0.01 for 1%). Defaults to 0.01 (1%) if not provided. Applied to maxAcceptableReverseBo |
Parameters from the server's own tool schema.
Why gala_launchpad_graduate_token is rated Low
Even though gala_launchpad_graduate_token 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_graduate_token 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_graduate_token, this is the rule to start with:
gala_launchpad_graduate_token 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_graduate_token call is checked against it from then on.
Questions about gala_launchpad_graduate_token
Graduate a token pool by buying all remaining tokens in one transaction. WORKFLOW (automatic): 1. Calls calculateBuyAmountForGraduation() internally 2. Executes buy() with exact remaining token amount 3. Returns transaction result Performance optimization: Provide currentSupply to avoid fetching pool details twice. CRITICAL: This is a convenience method that combines multiple operations. Throws error if token is already graduated. slippageToleranceFactor is optional and uses SDK defaults if not provided. RETURNS: TradeResult with transaction details including amounts and transaction ID. It is categorised as a Read tool in the Gala MCP Server, which means it retrieves data without modifying state.
gala_launchpad_graduate_token accepts 6 parameters: tokenName, privateKey, currentSupply, calculateAmountMode, slippageToleranceFactor, maxAcceptableReverseBondingCurveFeeSlippageFactor. Required: 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_graduate_token: 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_graduate_token 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_graduate_token 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_graduate_token. 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_graduate_token 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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