按表生成常见示例查询与简要讲解
AI agents call generateExamples to retrieve information from SQL MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool generates example queries and explanations for a given table. It is a read/informational operation that produces documentation-style output. While the server supports query execution, this tool appears to only generate example text, not execute queries. The server is described as read-only, further supporting a Read classification.
From the tool's definition '生成常见示例查询与简要讲解' (generates common example queries with brief explanations) — purely generates/displays example SQL queries and explanations without executing them
Attacks that exploit this kind of access
按表生成常见示例查询与简要讲解. It is categorised as a Read tool in the SQL MCP Server MCP Server, which means it retrieves data without modifying state.
Register the SQL MCP Server MCP server in PolicyLayer and add a rule for generateExamples: 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 SQL MCP Server. Nothing to install.
generateExamples 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 generateExamples 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 generateExamples. 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.
generateExamples is provided by the SQL MCP Server MCP server (polarisxb/sql-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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