AI agents call my_tool as a supporting operation in DBeast workflows.
With no description and a generic placeholder name, there is insufficient information to classify this tool into any meaningful risk category. The server context (PostgreSQL inspection/auditing) slightly suggests it could be a Read or Execute tool, but this is speculative. Confidence is very low due to the complete lack of description.
From the tool's definition Tool name is 'my_tool' with an empty description, providing no information about what this tool does.
Attacks that exploit this kind of access
my_tool. It is categorised as a Other tool in the DBeast MCP Server, which means it performs auxiliary operations.
Register the DBeast MCP server in PolicyLayer and add a rule for my_tool: 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 DBeast. Nothing to install.
my_tool is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the my_tool 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 my_tool. 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.
my_tool is provided by the DBeast MCP server (snss10/dbeast). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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