velar_get_tokens

Get list of available tokens from Velar SDK

Server Stacks AI MCP Server stack-ai-mcp/stacks-mcp-server
Category Read
Risk class Low
Parameters 00 required

What velar_get_tokens does on Stacks AI MCP Server

AI agents call velar_get_tokens 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.

Why velar_get_tokens needs a policy

This tool queries and retrieves a static list of available tokens. It performs no state changes, does not execute code or transactions, does not move funds, and does not delete data. The blast radius of misuse is minimal—an agent could only retrieve token information that is already publicly available on the Velar protocol. This is a straightforward read operation.

From the tool's definition Tool name 'velar_get_tokens' and description 'Get list of available tokens from Velar SDK' indicate data retrieval with no modification or side effects.

Questions about velar_get_tokens

What does the velar_get_tokens tool do? +

Get list of available tokens from Velar SDK. It is categorised as a Read tool in the Stacks AI MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on velar_get_tokens? +

Register the Stacks AI MCP Server MCP server in PolicyLayer and add a rule for velar_get_tokens: 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.

What risk level is velar_get_tokens? +

velar_get_tokens is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit velar_get_tokens? +

Yes. Add a rate_limit block to the velar_get_tokens 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.

How do I block velar_get_tokens completely? +

Set action: deny in the PolicyLayer policy for velar_get_tokens. 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.

What MCP server provides velar_get_tokens? +

velar_get_tokens 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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