Retrieve a specific configured scan target.
AI agents call get_target to retrieve information from GreenboneMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries existing scan target configuration data without modifying, deleting, or executing anything. It is a straightforward read operation with minimal security risk—retrieving target metadata poses no direct harm even if accessed by an unauthorized agent, though the target configuration itself may be sensitive information.
From the tool's definition Tool name 'get_target' and description 'Retrieve a specific configured scan target' indicate a data retrieval operation with no side effects.
Attacks that exploit this kind of access
Retrieve a specific configured scan target. It is categorised as a Read tool in the GreenboneMCP MCP Server, which means it retrieves data without modifying state.
Register the Greenbone MCP server in PolicyLayer and add a rule for get_target: 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 GreenboneMCP. Nothing to install.
get_target 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 get_target 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 get_target. 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.
get_target is provided by the Greenbone MCP server (matteocolazilli/greenbonemcp). 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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