Medium Risk

create_sql_table

Create SQLite table structure with Google Trends data (returns schema instead of creating files). Args: keywords: List of search terms timeframe: Time range for data geo: Geographic location table_name: Optional custom table name Returns: SQL table creation result with schema and sample data

Part of the Rivalsearch server.

create_sql_table can modify Rivalsearch data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use create_sql_table to create or modify resources in Rivalsearch. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call create_sql_table repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Rivalsearch.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_sql_table": {
      "limits": [
        {
          "counter": "create_sql_table_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Rivalsearch policy for all 18 tools.

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

Browse the full MCP Attack Database →

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

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

What does the create_sql_table tool do? +

Create SQLite table structure with Google Trends data (returns schema instead of creating files). Args: keywords: List of search terms timeframe: Time range for data geo: Geographic location table_name: Optional custom table name Returns: SQL table creation result with schema and sample data. It is categorised as a Write tool in the Rivalsearch MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_sql_table? +

Register the Rivalsearch MCP server in PolicyLayer and add a rule for create_sql_table: 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 Rivalsearch. Nothing to install.

What risk level is create_sql_table? +

create_sql_table is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_sql_table? +

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

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

create_sql_table is provided by the Rivalsearch MCP server (rashforddamion/rivalsearch). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Rivalsearch tool call.

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