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rag_optimize_retrieval

Optimize retrieval quality and speed (Pro feature)

SERVERPlugin Hub SOURCE@barnburner121/plugin-hub-mcp
Medium RISK CLASS
Category Write
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/barnburner121-plugin-hub-mcp/rag-optimize-retrieval.md

What rag_optimize_retrieval does on Plugin Hub

AI agents use rag_optimize_retrieval to create or update resources in Plugin Hub, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Plugin Hub environment.

Why rag_optimize_retrieval is rated Medium

An AI agent can call rag_optimize_retrieval faster than any human can review: one bad instruction and it creates or modifies resources in Plugin Hub by the hundred, each call as confident as the last.

Questions about rag_optimize_retrieval

What does the rag_optimize_retrieval tool do? +

Optimize retrieval quality and speed (Pro feature). It is categorised as a Write tool in the Plugin Hub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on rag_optimize_retrieval? +

Register the Plugin Hub MCP server in PolicyLayer and add a rule for rag_optimize_retrieval: 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 Plugin Hub. Nothing to install.

What risk level is rag_optimize_retrieval? +

rag_optimize_retrieval is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit rag_optimize_retrieval? +

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

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

rag_optimize_retrieval is provided by the Plugin Hub MCP server (@barnburner121/plugin-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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