Get all token tickers with current market data
AI agents call velar_get_all_tickers 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 queries market data (token tickers and current prices) without creating, modifying, deleting, or executing any operations. It is a pure read operation with minimal blast radius if misused by an AI agent, as the worst outcome would be stale or incorrect market information being used for decision-making rather than actual financial loss or irreversible changes.
From the tool's definition Tool name contains 'get_all' and description states 'Get all token tickers with current market data' — retrieval of market information with no side effects or state modifications.
Attacks that exploit this kind of access
Get all token tickers with current market data. 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 velar_get_all_tickers: 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.
velar_get_all_tickers 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 velar_get_all_tickers 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 velar_get_all_tickers. 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.
velar_get_all_tickers 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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