check_token_risk

CRITICAL: Check a token

Server Rug Munch Intelligence marcus-rug-intel/rug-munch-mcp
Category Read
Risk class Low
Parameters 00 required

What check_token_risk does on Rug Munch Intelligence

AI agents call check_token_risk to retrieve information from Rug Munch Intelligence without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why check_token_risk needs a policy

This tool retrieves or analyzes existing data about a token's risk profile. It has no side effects—it does not execute transactions, modify blockchain state, move funds, or delete data. The 'CRITICAL' emphasis in the description refers to the importance of the information for decision-making, not the severity of the tool's actions.

From the tool's definition Tool name 'check_token_risk' and description 'Check a token' indicate a query/lookup operation. The server context confirms it retrieves risk intelligence data (rug pulls, honeypots, scams) to inform decisions, but performs no state changes, fund movements,…

Questions about check_token_risk

What does the check_token_risk tool do? +

CRITICAL: Check a token. It is categorised as a Read tool in the Rug Munch Intelligence MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on check_token_risk? +

Register the Rug Munch Intelligence MCP server in PolicyLayer and add a rule for check_token_risk: 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 Rug Munch Intelligence. Nothing to install.

What risk level is check_token_risk? +

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

Can I rate-limit check_token_risk? +

Yes. Add a rate_limit block to the check_token_risk 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 check_token_risk completely? +

Set action: deny in the PolicyLayer policy for check_token_risk. 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 check_token_risk? +

check_token_risk is provided by the Rug Munch Intelligence MCP server (marcus-rug-intel/rug-munch-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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