Execute a DAX query against a Power BI dataset.
AI agents invoke execute_dax_query to trigger actions in PBIXRay 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.
This tool runs queries (DAX code) against a live Power BI dataset. While DAX queries are typically read-like in nature, the 'execute' verb and the ability for an LLM to craft arbitrary DAX logic means the tool permits dynamic code execution whose outcome depends on query arguments.
From the tool's definition Tool name is 'execute_dax_query' and description states it 'Execute[s] a DAX query against a Power BI dataset.' DAX is a query language that can retrieve, transform, and aggregate data; execution of user-supplied or LLM-generated queries against live datasets…
Attacks that exploit this kind of access
Execute a DAX query against a Power BI dataset. It is categorised as a Execute tool in the PBIXRay MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the PBIXRay MCP Server MCP server in PolicyLayer and add a rule for execute_dax_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 PBIXRay MCP Server. Nothing to install.
execute_dax_query 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 execute_dax_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 execute_dax_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.
execute_dax_query is provided by the PBIXRay MCP Server MCP server (ngoc0610/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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