AI agents call list_tables to retrieve information from Dameng without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only queries and returns metadata about existing tables in the database. It performs no modifications, deletions, code execution, or financial operations. It is purely informational/observational in nature, making it a Read-category tool with low severity.
From the tool's definition Tool name is 'list_tables' and description states it '列出达梦数据库中所有用户表（含表名、注释、行数估算）' (lists all user tables in Dameng database with table names, comments, and row count estimates).
Attacks that exploit this kind of access
列出达梦数据库中所有用户表（含表名、注释、行数估算）. It is categorised as a Read tool in the Dameng MCP Server, which means it retrieves data without modifying state.
Register the Dameng MCP server in PolicyLayer and add a rule for list_tables: 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 Dameng. Nothing to install.
list_tables 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 list_tables 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 list_tables. 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.
list_tables is provided by the Dameng MCP server (springdamon/mcp-server-dameng). 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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