execute_dax_query · Semantic Model MCP Server MCP

WHAT IT DOES

What execute_dax_query does on Semantic Model MCP Server

AI agents invoke execute_dax_query to trigger actions in Semantic Model 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.

WHY IT NEEDS A POLICY

Why execute_dax_query needs a policy

DAX query execution is a code/query execution operation whose effects depend on query arguments. A malicious agent could craft DAX queries to extract sensitive business data, perform aggregations for unauthorized analytics, or identify model vulnerabilities. While not destructive or financial, execution of arbitrary queries against enterprise BI systems poses significant risk to confidentiality and data integrity.

From the tool's definition Tool name 'execute_dax_query' indicates execution of DAX (Data Analysis Expressions) queries against Power BI/Fabric semantic models.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

execute_dax_query Rate-limited

execute_dax_query stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_dax_query": {
      "limits": [
        {
          "counter": "execute_dax_query_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Semantic Model MCP Server, so you can run agents against it safely.

FAQ

Questions about execute_dax_query

What does the execute_dax_query tool do? +

execute_dax_query. It is categorised as a Execute tool in the Semantic Model MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_dax_query? +

Register the Semantic Model 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 Semantic Model MCP Server. Nothing to install.

What risk level is execute_dax_query? +

execute_dax_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_dax_query? +

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.

How do I block execute_dax_query completely? +

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.

What MCP server provides execute_dax_query? +

execute_dax_query is provided by the Semantic Model MCP Server MCP server (nahtheking/semantic-model-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.