AI agents call quote_lp_withdraw to retrieve information from Agent without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
vault | string | Yes | Known any-token LP vault address. |
shares | string | Yes | Vault shares to burn (base-unit integer string). |
chainId | integer | Yes | EVM chain id (mainnet = 1 in v1). |
recipient | string | Yes | Recipient / payer address (the wallet that signs + receives). |
outputToken | string | Yes | Token to receive on withdraw. |
slippageBps | integer | — | Optional slippage budget in basis points (0–10000). |
Parameters from the server's own tool schema.
The tool explicitly states it is read-only and performs no broadcast. It only previews/estimates withdrawal amounts without executing any transaction or modifying any state.
From the tool's definition Read-only any-token LP withdraw preview: estimated and guaranteed token-out for burning vault shares. No broadcast.
Attacks that exploit this kind of access
Read-only any-token LP withdraw preview: estimated and guaranteed token-out for burning vault shares. No broadcast. It is categorised as a Read tool in the Agent MCP Server, which means it retrieves data without modifying state.
quote_lp_withdraw accepts 6 parameters: vault, shares, chainId, recipient, outputToken, slippageBps. Required: vault, shares, chainId, recipient, outputToken. The full parameter table on this page comes from the server's own tool schema.
Register the Agent MCP server in PolicyLayer and add a rule for quote_lp_withdraw: 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 Agent. Nothing to install.
quote_lp_withdraw 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 quote_lp_withdraw 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 quote_lp_withdraw. 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.
quote_lp_withdraw is provided by the Agent MCP server (https://fluxiq.xyz/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
quote_lp_withdraw is one line of Agent's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
Teams ship this data inside their own products. See what a licence covers →