prewarm_relation

A execute tool on the Mcpg MCP server.

SERVERMcpg SOURCEpypi:mcpg

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-devopam-mcpg/prewarm-relation.md

WHAT IT DOES

What prewarm_relation does on Mcpg

AI agents invoke prewarm_relation to trigger actions in Mcpg. 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 prewarm_relation is rated High

In PostgreSQL, prewarming a relation means loading table/index pages into shared_buffers. This is an operational action that triggers I/O and modifies the buffer cache state, making it an Execute-category action. However, with no description provided, confidence is low. It is not destructive (no data is deleted), not financial, and not a simple read.

From the tool's definition Tool name 'prewarm_relation' suggests loading a relation into buffer cache (pg_prewarm functionality in PostgreSQL), but description is empty and uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs prewarm_relation safely

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

prewarm_relation Rate-limited

prewarm_relation 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": {
    "prewarm_relation": {
      "limits": [
        {
          "counter": "prewarm_relation_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 Mcpg, apply this rule, and every prewarm_relation call is checked against it from then on.

FAQ

Questions about prewarm_relation

What does the prewarm_relation tool do? +

prewarm_relation is a execute tool on the Mcpg MCP server. It is categorised as a Execute tool in the Mcpg MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on prewarm_relation? +

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

What risk level is prewarm_relation? +

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

Can I rate-limit prewarm_relation? +

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

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

prewarm_relation is provided by the Mcpg MCP server (pypi:mcpg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Mcpg, and thousands of servers like it.

This server

All 252 Mcpg tools → High-risk tools on this server →

Across the catalogue

All high-risk MCP tools → The MCP Attack Database →

Guides

Govern code and CI agents →Agent sandbox →Least privilege for MCP →