recommend_efficiency_thresholds

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/recommend-efficiency-thresholds.md

What recommend_efficiency_thresholds does on Mcpg

AI agents call recommend_efficiency_thresholds 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.

Why recommend_efficiency_thresholds is rated Low

The tool name indicates it provides recommendations about efficiency thresholds rather than executing changes, creating data, or deleting anything. In context with sibling PostgreSQL analysis tools (analyze_query_plan, analyze_lock_hotspots, etc.), this appears to be an informational/advisory tool that retrieves or derives insights.

From the tool's definition Tool name 'recommend_efficiency_thresholds' suggests analysis and recommendation generation without modification. Sibling tools include multiple 'analyze_*' tools that are clearly Read operations, and this follows the same naming/analytical pattern.

Questions about recommend_efficiency_thresholds

What does the recommend_efficiency_thresholds tool do? +

recommend_efficiency_thresholds 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 recommend_efficiency_thresholds? +

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

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

Can I rate-limit recommend_efficiency_thresholds? +

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

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

recommend_efficiency_thresholds 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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