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execute_write_query

Execute a write SQL query on PlanetScale

Risk signalsRuns write SQL on production database

Part of the PlanetScale server.

execute_write_query can trigger actions in PlanetScale, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke execute_write_query to trigger processes or run actions in PlanetScale. 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.

execute_write_query can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_write_query": {
      "limits": [
        {
          "counter": "execute_write_query_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full PlanetScale policy for all 5 tools.

Get this rule live on your own PlanetScale server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access execute_write_query gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so execute_write_query only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the execute_write_query tool do? +

Execute a write SQL query on PlanetScale. It is categorised as a Execute tool in the PlanetScale 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_write_query? +

Register the PlanetScale MCP server in PolicyLayer and add a rule for execute_write_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 PlanetScale. Nothing to install.

What risk level is execute_write_query? +

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

Can I rate-limit execute_write_query? +

Yes. Add a rate_limit block to the execute_write_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_write_query completely? +

Set action: deny in the PolicyLayer policy for execute_write_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_write_query? +

execute_write_query is provided by the PlanetScale MCP server (@planetscale-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every PlanetScale tool call.

Deterministic rules across all 5 PlanetScale tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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