pg_vector_normalize

Normalize a vector to unit length.

SERVERPostgreSQL MCP Server SOURCE@neverinfamous/postgres-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-neverinfamous-postgres-mcp/pg-vector-normalize.md

WHAT IT DOES

What pg_vector_normalize does on PostgreSQL MCP Server

AI agents invoke pg_vector_normalize to trigger actions in PostgreSQL MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why pg_vector_normalize is rated High

This tool performs a mathematical operation (normalization) on a vector, likely executing a database function or computation. It doesn't read stored data, write/modify persistent data, or destroy anything — it transforms input data via execution. Severity is low since it's a pure mathematical transformation with minimal blast radius.

From the tool's definition Normalize a vector to unit length

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pg_vector_normalize safely

PolicyLayer is an MCP gateway: it sits between your AI agents and PostgreSQL MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pg_vector_normalize, this is the rule to start with:

pg_vector_normalize Rate-limited

pg_vector_normalize stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "pg_vector_normalize": {
      "limits": [
        {
          "counter": "pg_vector_normalize_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect PostgreSQL MCP Server, apply this rule, and every pg_vector_normalize call is checked against it from then on.

FAQ

Questions about pg_vector_normalize

What does the pg_vector_normalize tool do? +

Normalize a vector to unit length. It is categorised as a Execute tool in the PostgreSQL MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on pg_vector_normalize? +

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

What risk level is pg_vector_normalize? +

pg_vector_normalize is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit pg_vector_normalize? +

Yes. Add a rate_limit block to the pg_vector_normalize 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_vector_normalize completely? +

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

pg_vector_normalize is provided by the PostgreSQL MCP Server MCP server (@neverinfamous/postgres-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

What pg_vector_normalize does on PostgreSQL MCP Server

Why pg_vector_normalize is rated High

The rule that runs pg_vector_normalize safely

Questions about pg_vector_normalize

More on PostgreSQL MCP Server, and thousands of servers like it.