search_memory_nodes

Search for nodes in the graph memory.

Server local-RAG-backend suwa-sh/local-rag-backend
Category Read
Risk class Low
Parameters 00 required

What search_memory_nodes does on local-RAG-backend

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

Why search_memory_nodes needs a policy

This tool searches and retrieves data from the graph memory structure without creating, modifying, deleting, or executing any operations. It is a pure read operation analogous to query or search functions. The blast radius is minimal as misuse would only surface existing data.

From the tool's definition Tool name 'search_memory_nodes' and description 'Search for nodes in the graph memory' indicate a query/retrieval operation with no modification or execution of external commands.

Questions about search_memory_nodes

What does the search_memory_nodes tool do? +

Search for nodes in the graph memory. It is categorised as a Read tool in the local-RAG-backend MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_memory_nodes? +

Register the local-RAG-backend MCP server in PolicyLayer and add a rule for search_memory_nodes: 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 local-RAG-backend. Nothing to install.

What risk level is search_memory_nodes? +

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

Can I rate-limit search_memory_nodes? +

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

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

search_memory_nodes is provided by the local-RAG-backend MCP server (suwa-sh/local-rag-backend). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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