retrieve_with_sources

Semantic search with full citation metadata.

Server Rag mrankitvish/rag-mcp
Category Read
Risk class Low
Parameters 00 required

What retrieve_with_sources does on Rag

AI agents call retrieve_with_sources to retrieve information from Rag without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why retrieve_with_sources needs a policy

This tool performs a semantic search query and returns results with citations. It reads and queries existing data without creating, modifying, deleting, or executing any side effects. The 'with sources' qualifier indicates enhanced metadata in the response, not a change in operation class. Semantic search is fundamentally a Read operation with no blast radius beyond information disclosure.

From the tool's definition Tool description states 'Semantic search with full citation metadata' — a retrieval operation with no modification or deletion of data.

Questions about retrieve_with_sources

What does the retrieve_with_sources tool do? +

Semantic search with full citation metadata. It is categorised as a Read tool in the Rag MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on retrieve_with_sources? +

Register the Rag MCP server in PolicyLayer and add a rule for retrieve_with_sources: 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 Rag. Nothing to install.

What risk level is retrieve_with_sources? +

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

Can I rate-limit retrieve_with_sources? +

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

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

retrieve_with_sources is provided by the Rag MCP server (mrankitvish/rag-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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