natural_language_to_sql · BigQuery FinOps MCP Server MCP

WHAT IT DOES

What natural_language_to_sql does on BigQuery FinOps MCP Server

AI agents invoke natural_language_to_sql to trigger actions in BigQuery FinOps 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 natural_language_to_sql needs a policy

Translating natural language to SQL and running it against BigQuery can produce arbitrary query execution. Given the FinOps/BigQuery context and sibling tools that analyze costs and usage, this tool likely executes the generated SQL. Arbitrary SQL execution can expose sensitive financial and operational data, and depending on permissions, could run expensive or destructive queries.

From the tool's definition 'Translate a natural language question into a SQL query' — the tool generates and presumably executes SQL against BigQuery

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

natural_language_to_sql Rate-limited

natural_language_to_sql 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": {
    "natural_language_to_sql": {
      "limits": [
        {
          "counter": "natural_language_to_sql_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 BigQuery FinOps MCP Server, so you can run agents against it safely.

FAQ

Questions about natural_language_to_sql

What does the natural_language_to_sql tool do? +

Translate a natural language question into a SQL query. It is categorised as a Execute tool in the BigQuery FinOps 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 natural_language_to_sql? +

Register the BigQuery FinOps MCP Server MCP server in PolicyLayer and add a rule for natural_language_to_sql: 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 BigQuery FinOps MCP Server. Nothing to install.

What risk level is natural_language_to_sql? +

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

Can I rate-limit natural_language_to_sql? +

Yes. Add a rate_limit block to the natural_language_to_sql 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 natural_language_to_sql completely? +

Set action: deny in the PolicyLayer policy for natural_language_to_sql. 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 natural_language_to_sql? +

natural_language_to_sql is provided by the BigQuery FinOps MCP Server MCP server (urfanazad/bq_azure_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.