AI agents call describe_table to retrieve information from Highgo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The describe_table tool performs read-only inspection of database schema metadata. It retrieves structural information about tables without creating, modifying, deleting, or executing arbitrary code. This is a standard introspection operation with minimal risk, making it a Read category tool with low severity.
From the tool's definition Tool retrieves table column information and data types ("获取表的列信息和数据类型" = 'get table column information and data types'). This is a schema metadata query operation with no side effects.
Attacks that exploit this kind of access
获取表的列信息和数据类型。. It is categorised as a Read tool in the Highgo MCP Server, which means it retrieves data without modifying state.
Register the Highgo MCP server in PolicyLayer and add a rule for describe_table: 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 Highgo. Nothing to install.
describe_table 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 describe_table 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 describe_table. 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.
describe_table is provided by the Highgo MCP server (otaku-wang/highgo-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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