AI agents call list_tables to retrieve information from Dm without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves table metadata from a Dameng database schema. It performs a query operation that does not modify, execute code, delete, or commit any financial transactions. The action is read-only and informational in nature, making it a standard Read category tool with low severity.
From the tool's definition Tool name 'list_tables' and description '查询指定SCHEMA下的所有表，不指定则查询默认SCHEMA' (query all tables in a specified SCHEMA or default SCHEMA) indicate a data retrieval operation with no side effects.
Attacks that exploit this kind of access
查询指定SCHEMA下的所有表，不指定则查询默认SCHEMA. It is categorised as a Read tool in the Dm MCP Server, which means it retrieves data without modifying state.
Register the Dm 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 Dm. 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 Dm MCP server (tgich/dm_mcp_server). 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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