Low Risk

pg_analyze_database

Analyze PostgreSQL database configuration and performance

Part of the PostgreSQL Database Management Server server.

pg_analyze_database is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

SECURE POSTGRESQL DATABASE MANAGEMENT SERVER →

Free to start. No card required.

AI agents call pg_analyze_database to retrieve information from PostgreSQL Database Management Server 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 pg_analyze_database 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.

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

See the full PostgreSQL Database Management Server policy for all 18 tools.

Get this rule live on your own PostgreSQL Database Management Server server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY POSTGRESQL DATABASE MANAGEMENT SERVER →

View all 18 tools →

These attack patterns abuse exactly the kind of access pg_analyze_database 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 pg_analyze_database only ever does what you allow.

SECURE POSTGRESQL DATABASE MANAGEMENT SERVER →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the pg_analyze_database tool do? +

Analyze PostgreSQL database configuration and performance. It is categorised as a Read tool in the PostgreSQL Database Management Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on pg_analyze_database? +

Register the PostgreSQL Database Management Server MCP server in PolicyLayer and add a rule for pg_analyze_database: 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 PostgreSQL Database Management Server. Nothing to install.

What risk level is pg_analyze_database? +

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

Can I rate-limit pg_analyze_database? +

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

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

pg_analyze_database is provided by the PostgreSQL Database Management Server MCP server (HenkDz/postgresql-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 PostgreSQL Database Management Server tool call.

Deterministic rules across all 18 PostgreSQL Database Management Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.