Get total value locked across all ALEX pools
AI agents call alex_get_total_tvl to retrieve information from Stacks AI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and aggregates TVL (Total Value Locked) metrics from ALEX pools, which is a read-only query operation. It has no side effects, does not execute trades, does not modify data, and does not commit financial transactions. The 'get' verb and 'across all ALEX pools' phrase confirm data retrieval. Blast radius if misused is minimal—an AI agent can only retrieve information, not act upon it to cause harm.
From the tool's definition Tool name 'alex_get_total_tvl' with description 'Get total value locked across all ALEX pools' indicates a retrieval operation that queries aggregate data without modifying state or triggering external transactions.
Attacks that exploit this kind of access
Get total value locked across all ALEX pools. It is categorised as a Read tool in the Stacks AI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Stacks AI MCP Server MCP server in PolicyLayer and add a rule for alex_get_total_tvl: 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 Stacks AI MCP Server. Nothing to install.
alex_get_total_tvl 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 alex_get_total_tvl 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 alex_get_total_tvl. 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.
alex_get_total_tvl is provided by the Stacks AI MCP Server MCP server (stack-ai-mcp/stacks-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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