read_pg_buffercache_summary

A read tool on the Mcpg MCP server.

SERVERMcpg SOURCEpypi:mcpg

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-devopam-mcpg/read-pg-buffercache-summary.md

WHAT IT DOES

What read_pg_buffercache_summary does on Mcpg

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

RISK

Why read_pg_buffercache_summary is rated Low

This tool appears to query PostgreSQL's pg_buffercache system catalog or related statistics. Such operations are non-destructive reads of internal database state used for monitoring and diagnostics. The 'read_' prefix is a strong indicator of Read category.

From the tool's definition Tool name 'read_pg_buffercache_summary' contains 'read' prefix, indicating a retrieval operation. The 'buffercache' component refers to PostgreSQL's buffer cache statistics, a read-only monitoring view.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs read_pg_buffercache_summary 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 read_pg_buffercache_summary, this is the rule to start with:

read_pg_buffercache_summary Allowed

read_pg_buffercache_summary is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

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

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about read_pg_buffercache_summary

What does the read_pg_buffercache_summary tool do? +

read_pg_buffercache_summary is a read tool on the Mcpg MCP server. It is categorised as a Read tool in the Mcpg MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on read_pg_buffercache_summary? +

Register the Mcpg MCP server in PolicyLayer and add a rule for read_pg_buffercache_summary: 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 read_pg_buffercache_summary? +

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

Can I rate-limit read_pg_buffercache_summary? +

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

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

read_pg_buffercache_summary 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.

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