列出目前資料庫中的所有資料表
AI agents call list-tables to retrieve information from MSSQL MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about database structure (table enumeration) with no side effects. It is a non-destructive query operation that does not execute code, modify data, or create financial obligations. The action is read-only schema discovery.
From the tool's definition Tool name 'list-tables' and description '列出目前資料庫中的所有資料表' (lists all tables in the current database) indicate a query operation that retrieves metadata about database schema without modification.
Attacks that exploit this kind of access
列出目前資料庫中的所有資料表. It is categorised as a Read tool in the MSSQL MCP Server MCP Server, which means it retrieves data without modifying state.
Register the MSSQL MCP Server 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 MSSQL MCP Server. 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 MSSQL MCP Server MCP server (nakiriyuuzu/mssql-mcp). 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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