train_node_classification_model

Train a node classification model on a projected graph and store it in the GDS model catalog under modelName.

Server Neo4j Gds neo4j-contrib/gds-agent
Category Read
Risk class Low
Parameters 00 required

What train_node_classification_model does on Neo4j Gds

AI agents call train_node_classification_model to retrieve information from Neo4j Gds without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why train_node_classification_model needs a policy

Even though train_node_classification_model 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.

Questions about train_node_classification_model

What does the train_node_classification_model tool do? +

Train a node classification model on a projected graph and store it in the GDS model catalog under modelName. It is categorised as a Read tool in the Neo4j Gds MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on train_node_classification_model? +

Register the Neo4j Gds MCP server in PolicyLayer and add a rule for train_node_classification_model: 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 Neo4j Gds. Nothing to install.

What risk level is train_node_classification_model? +

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

Can I rate-limit train_node_classification_model? +

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

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

train_node_classification_model is provided by the Neo4j Gds MCP server (neo4j-contrib/gds-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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