AI agents call drupal_get_node to retrieve information from Drupal without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves a single node from a Drupal site without creating, modifying, or deleting any data. It has no side effects and is a straightforward read operation. The low severity reflects minimal blast radius—an AI agent misuse would only result in unauthorized data access, not data loss or modification.
From the tool's definition Tool name is 'drupal_get_node' and description states 'Fetch a single node by bundle + UUID.' The verb 'fetch' indicates retrieval without modification.
Attacks that exploit this kind of access
Fetch a single node by bundle + UUID. It is categorised as a Read tool in the Drupal MCP Server, which means it retrieves data without modifying state.
Register the Drupal MCP server in PolicyLayer and add a rule for drupal_get_node: 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 Drupal. Nothing to install.
drupal_get_node is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the drupal_get_node 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.
Set action: deny in the PolicyLayer policy for drupal_get_node. 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.
drupal_get_node is provided by the Drupal MCP server (lucaspretti/drupal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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