Execute a read-only (SELECT) query on the database
AI agents call run_read_query to retrieve information from SingleStore MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool explicitly restricts execution to SELECT queries, making it a read operation with no side effects. However, severity is medium because arbitrary SELECT queries could expose sensitive data across any table in the database if an AI agent is misdirected.
From the tool's definition Execute a read-only (SELECT) query on the database
Attacks that exploit this kind of access
Execute a read-only (SELECT) query on the database. It is categorised as a Read tool in the SingleStore MCP Server MCP Server, which means it retrieves data without modifying state.
Register the SingleStore MCP Server MCP server in PolicyLayer and add a rule for run_read_query: 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.
run_read_query 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 run_read_query 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 run_read_query. 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.
run_read_query 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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