why_is_this_slow

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/why-is-this-slow.md

WHAT IT DOES

What why_is_this_slow does on Mcpg

AI agents call why_is_this_slow 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 why_is_this_slow is rated Low

The tool appears designed to diagnose database performance issues by analyzing query plans, locks, or execution details. This is a read-only diagnostic operation with no side effects. The empty description lowers confidence slightly, but the naming pattern and context of sibling analysis tools strongly suggest read-only introspection. No destructive, write, execute, or financial operations are indicated.

From the tool's definition Tool name 'why_is_this_slow' suggests query analysis/diagnostics. Sibling tools include 'analyze_query_plan', 'analyze_lock_hotspots', and other analysis-only functions that retrieve performance metrics without modifying data.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

why_is_this_slow Allowed

why_is_this_slow 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": {
    "why_is_this_slow": {}
  }
}

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 why_is_this_slow call is checked against it from then on.

FAQ

Questions about why_is_this_slow

What does the why_is_this_slow tool do? +

why_is_this_slow 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 why_is_this_slow? +

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

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

Can I rate-limit why_is_this_slow? +

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

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

why_is_this_slow 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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