recommend_rerank_strategy

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-rerank-strategy.md

WHAT IT DOES

What recommend_rerank_strategy does on Mcpg

AI agents call recommend_rerank_strategy 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 recommend_rerank_strategy is rated Low

Even though recommend_rerank_strategy only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

recommend_rerank_strategy Allowed

recommend_rerank_strategy 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": {
    "recommend_rerank_strategy": {}
  }
}

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 recommend_rerank_strategy call is checked against it from then on.

FAQ

Questions about recommend_rerank_strategy

What does the recommend_rerank_strategy tool do? +

recommend_rerank_strategy 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_rerank_strategy? +

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

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

Can I rate-limit recommend_rerank_strategy? +

Yes. Add a rate_limit block to the recommend_rerank_strategy 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_rerank_strategy completely? +

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

recommend_rerank_strategy 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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