High Risk →

executeQuery

Executes a read-only KQL query against your database

Part of the Kusto MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

@mcp-apps/kusto-mcp-server Execute Risk 3/5

AI agents invoke executeQuery to trigger processes or run actions in Kusto. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

executeQuery can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

kusto.yaml
tools:
  executeQuery:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Kusto policy for all 4 tools.

Tool Name executeQuery
Category Execute
MCP Server Kusto MCP Server
Risk Level High

Agents calling execute-class tools like executeQuery have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

executeQuery is one of the high-risk operations in Kusto. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the executeQuery tool do? +

Executes a read-only KQL query against your database. It is categorised as a Execute tool in the Kusto MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on executeQuery? +

Add a rule in your Intercept YAML policy under the tools section for executeQuery. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Kusto MCP server.

What risk level is executeQuery? +

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

Can I rate-limit executeQuery? +

Yes. Add a rate_limit block to the executeQuery rule in your Intercept 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 executeQuery completely? +

Set action: deny in the Intercept policy for executeQuery. 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 executeQuery? +

executeQuery is provided by the Kusto MCP server (@mcp-apps/kusto-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Kusto

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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