获取指定表的详细信息
AI agents call get_table_info to retrieve information from PySqlitMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries metadata about a specific table structure and properties. It has no side effects, does not modify data, and does not execute arbitrary code or trigger destructive operations. It is a straightforward read operation that returns information about a database table.
From the tool's definition Tool name is 'get_table_info' and description translates to 'Get detailed information of a specified table'. The verb 'get' and 'info' indicate data retrieval with no modification capability.
Attacks that exploit this kind of access
获取指定表的详细信息. It is categorised as a Read tool in the PySqlitMCP MCP Server, which means it retrieves data without modifying state.
Register the PySqlit MCP server in PolicyLayer and add a rule for get_table_info: 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 PySqlitMCP. Nothing to install.
get_table_info 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 get_table_info 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 get_table_info. 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.
get_table_info is provided by the PySqlit MCP server (python51888/pysqlitmcp). 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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