Get historical price data for a token
AI agents call velar_get_historical_prices 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 historical price information, which is a read-only operation. It has no capability to modify state, execute code, delete data, or move funds. The blast radius of misuse is minimal—an agent could only over-query or request large datasets, but cannot cause irreversible harm or financial loss. This is classified as Read with low severity.
From the tool's definition Tool name 'velar_get_historical_prices' and description 'Get historical price data for a token' indicate a retrieval operation with no side effects. This is a data query that does not modify, execute, or destroy any data.
Attacks that exploit this kind of access
Get historical price data 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 velar_get_historical_prices: 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_historical_prices 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_historical_prices 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_historical_prices. 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_historical_prices 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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