Execute a query on a table
AI agents invoke query_table to trigger actions in SingleStore MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
While the tool may be intended for SELECT queries, 'execute a query' is broad enough to include DML/DDL statements (INSERT, UPDATE, DELETE, DROP). Sibling tools include a separate 'run_read_query' which suggests this tool may permit write or destructive queries. The most severe applicable category for arbitrary query execution is Execute, with high severity due to potential for data modification or destruction.
From the tool's definition "Execute a query on a table" — the description uses 'execute' and 'query', implying arbitrary SQL execution rather than a constrained read-only operation.
Attacks that exploit this kind of access
Execute a query on a table. It is categorised as a Execute tool in the SingleStore MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the SingleStore MCP Server MCP server in PolicyLayer and add a rule for query_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 SingleStore MCP Server. Nothing to install.
query_table is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the query_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 query_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.
query_table is provided by the SingleStore MCP Server MCP server (madhukarkumar/singlestore-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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