Analyze Sigma documents using SQL queries to filter data before analysis. Use this after generate_sql_query to get filtered results.
AI agents invoke analyze_documents to trigger actions in Sigma 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.
The tool runs SQL queries against Sigma documents and analytics data, which constitutes executing code/queries whose effects depend on the SQL arguments provided. While described as filtering/reading, executing arbitrary SQL queries carries elevated risk as the queries could be complex or resource-intensive, and the tool actively runs computation rather than simply retrieving static data.
From the tool's definition 'Analyze Sigma documents using SQL queries to filter data before analysis' and 'Use this after generate_sql_query to get filtered results' — executes SQL queries against documents/analytics data
Attacks that exploit this kind of access
Analyze Sigma documents using SQL queries to filter data before analysis. Use this after generate_sql_query to get filtered results. It is categorised as a Execute tool in the Sigma MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Sigma MCP Server MCP server in PolicyLayer and add a rule for analyze_documents: 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.
analyze_documents 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 analyze_documents 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 analyze_documents. 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.
analyze_documents 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.
Teams ship this data inside their own products. See what a licence covers →