<use_case> This tool helps developers improve PostgreSQL query performance for slow queries or DML statements by analyzing execution plans and suggesting optimizations. The tool will: 1. Create a temporary branch for testing optimizations and remember the branch ID 2. Extract and analyze the curr...
Part of the Neon server.
Free to start. No card required.
AI agents call prepare_query_tuning to retrieve information from Neon without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though prepare_query_tuning only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"prepare_query_tuning": {}
}
}See the full Neon policy for all 22 tools.
These attack patterns abuse exactly the kind of access prepare_query_tuning gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
<use_case> This tool helps developers improve PostgreSQL query performance for slow queries or DML statements by analyzing execution plans and suggesting optimizations. The tool will: 1. Create a temporary branch for testing optimizations and remember the branch ID 2. Extract and analyze the current query execution plan 3. Extract all fully qualified table names (\. It is categorised as a Read tool in the Neon MCP Server, which means it retrieves data without modifying state.
Register the Neon MCP server in PolicyLayer and add a rule for prepare_query_tuning: 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 Neon. Nothing to install.
prepare_query_tuning is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the prepare_query_tuning 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.
Set action: deny in the PolicyLayer policy for prepare_query_tuning. 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.
prepare_query_tuning is provided by the Neon MCP server (@neondatabase/mcp-server-neon). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 22 Neon tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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