AI agents call list_data_items to retrieve information from GhidraMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays data labels and their values from a binary analysis context. It performs a read-only operation with no side effects—no data is created, modified, deleted, or executed. The pagination indicates a standard data retrieval pattern.
From the tool's definition Tool name 'list_data_items' and description 'List defined data labels and their values with pagination' indicate retrieval and querying of existing data without modification or deletion.
Attacks that exploit this kind of access
List defined data labels and their values with pagination. It is categorised as a Read tool in the GhidraMCP MCP Server, which means it retrieves data without modifying state.
Register the Ghidra MCP server in PolicyLayer and add a rule for list_data_items: 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 GhidraMCP. Nothing to install.
list_data_items 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 list_data_items 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 list_data_items. 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.
list_data_items is provided by the Ghidra MCP server (pr0cf5/ghidramcp). 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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