Low Risk

analyze_query_complexity

Analyze query complexity patterns from pg_stat_statements.

How to control analyze_query_complexity ↓

What analyze_query_complexity does on Postgres

AI agents call analyze_query_complexity to retrieve information from Postgres without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why analyze_query_complexity needs a policy

This tool performs a read-only analysis of query statistics. It queries the pg_stat_statements system catalog to extract complexity patterns and metrics. There are no side effects, data modifications, code execution, or destructive operations. The blast radius of misuse is minimal—an agent could only retrieve information about query patterns, not alter the database, execute arbitrary queries, or cause data loss.

From the tool's definition Tool 'analyze_query_complexity' with description 'Analyze query complexity patterns from pg_stat_statements' reads and analyzes existing query statistics from PostgreSQL's pg_stat_statements system view.

Documented attack patterns abuse exactly the kind of access analyze_query_complexity gives an agent:

How to control analyze_query_complexity

PolicyLayer is an MCP gateway — it sits between your AI agents and Postgres, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_query_complexity:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_query_complexity": {}
  }
}

analyze_query_complexity is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Postgres — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about analyze_query_complexity

What does the analyze_query_complexity tool do? +

Analyze query complexity patterns from pg_stat_statements. It is categorised as a Read tool in the Postgres MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_query_complexity? +

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

What risk level is analyze_query_complexity? +

analyze_query_complexity is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit analyze_query_complexity? +

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

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

analyze_query_complexity is provided by the Postgres MCP server (mukul975/postgres-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Postgres tool call.

Start from Postgres, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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239 Postgres tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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