AI agents call get_fgpp to retrieve information from LegacyMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'get_' prefix indicates a query/retrieval operation with no side effects. FGPP data is sensitive (password policy configuration) but reading it is a Read operation. Confidence is 0.75 rather than higher because the description is empty, preventing direct confirmation of the tool's actual behavior.
From the tool's definition Tool name 'get_fgpp' follows the 'get_' naming pattern consistent with sibling Read tools (get_blocked_inheritance_ous, get_certification_authorities, get_computer_summary, get_computers, get_dc_features, get_dc_file_locations, get_dc_network_config,…
Attacks that exploit this kind of access
get_fgpp. It is categorised as a Read tool in the LegacyMCP MCP Server, which means it retrieves data without modifying state.
Register the Legacy MCP server in PolicyLayer and add a rule for get_fgpp: 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 LegacyMCP. Nothing to install.
get_fgpp 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_fgpp 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_fgpp. 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_fgpp is provided by the Legacy MCP server (marco-lelli/legacy-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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