Get a prompt to generate a SQL query for filtering document data. Use this to create SQL that will help answer your question about documents.
AI agents use generate_sql_query to create or update resources in Sigma MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Sigma MCP Server environment.
An AI agent can call generate_sql_query faster than any human can review — one bad instruction and it creates or modifies resources in Sigma MCP Server by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Get a prompt to generate a SQL query for filtering document data. Use this to create SQL that will help answer your question about documents. It is categorised as a Write tool in the Sigma MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Sigma MCP Server MCP server in PolicyLayer and add a rule for generate_sql_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 Sigma MCP Server. Nothing to install.
generate_sql_query is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the generate_sql_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 generate_sql_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.
generate_sql_query is provided by the Sigma MCP Server MCP server (ja2z/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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