resource_usage_analyze

THE RISK

Low Risk

Why resource_usage_analyze needs a policy

This tool reads and analyzes resource usage telemetry from the database system. It performs introspection and reporting on existing data (CPU, memory, I/O metrics) with no side effects. No data is created, modified, deleted, or executed. This is a straightforward Read operation with low blast radius—misuse would only expose or misinterpret metrics, not cause harm.

From the tool's definition Tool name 'resource_usage_analyze' and description 'Analyze database resource usage patterns (CPU/Memory/IO)' indicate a query/analysis function that retrieves and examines existing metrics without modifying state or triggering external operations.

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

POLICY

How to control resource_usage_analyze

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "resource_usage_analyze": {}
  }
}

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

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

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

Read tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about resource_usage_analyze

What does the resource_usage_analyze tool do? +

Analyze database resource usage patterns (CPU/Memory/IO). It is categorised as a Read tool in the Postgres Mcp Legacy MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on resource_usage_analyze? +

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

What risk level is resource_usage_analyze? +

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

Can I rate-limit resource_usage_analyze? +

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

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

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

Enforce policy on every Postgres Mcp Legacy tool call.

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

CHECK YOUR STACK →