analyze_mpp_query_plan

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/analyze-mpp-query-plan.md

WHAT IT DOES

What analyze_mpp_query_plan does on Mcpg

AI agents call analyze_mpp_query_plan 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 analyze_mpp_query_plan is rated Low

The tool appears to analyze a massively parallel processing (MPP) query plan, which is a read-only diagnostic operation. No description was provided, lowering confidence slightly, but the naming pattern and sibling context strongly suggest it retrieves and examines query execution information without executing queries or modifying data.

From the tool's definition Tool name 'analyze_mpp_query_plan' contains 'analyze', and sibling tools are all analytical in nature (analyze_distance_metric, analyze_hnsw_recall, analyze_lock_hotspots, analyze_query_plan, etc.), indicating this performs query analysis without data…

Attacks that exploit this kind of access

RECOMMENDED RULE

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

analyze_mpp_query_plan Allowed

analyze_mpp_query_plan 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": {
    "analyze_mpp_query_plan": {}
  }
}

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 analyze_mpp_query_plan call is checked against it from then on.

FAQ

Questions about analyze_mpp_query_plan

What does the analyze_mpp_query_plan tool do? +

analyze_mpp_query_plan 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 analyze_mpp_query_plan? +

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

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

Can I rate-limit analyze_mpp_query_plan? +

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

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

analyze_mpp_query_plan 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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