Get 15-minute interval price history for a token
AI agents call alex_get_token_price_15min 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 queries and returns price history data with no side effects, write operations, financial transactions, or code execution. It is a straightforward read operation that retrieves information from the DeFi protocol. The context that it exists alongside write/financial tools (alex_execute_swap, staking functions) does not change its own classification.
From the tool's definition Tool description states 'Get 15-minute interval price history for a token' — purely retrieves historical price data without modifying or executing any blockchain operations.
Attacks that exploit this kind of access
Get 15-minute interval price history for a token. 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_token_price_15min: 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_token_price_15min 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_token_price_15min 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_token_price_15min. 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_token_price_15min 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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