Deep process details: modules, handle count, threads, command line,
AI agents call get_process_details to retrieve information from Procmon without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and returns process introspection data (modules, handles, threads, command line arguments). While it does not modify state, it has medium severity because process details can reveal sensitive information like credentials in command lines, API keys in environment variables, or other security-relevant metadata that could be exploited if an AI agent extracts and exfiltrates this data.
From the tool's definition 'Deep process details: modules, handle count, threads, command line' - retrieves process metadata without modification. The tool name and description indicate a query operation that inspects running processes.
Documented attack patterns abuse exactly the kind of access get_process_details gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Procmon, and nothing reaches the server without passing your rules. This is the rule we recommend for get_process_details:
{
"version": "1",
"default": "deny",
"tools": {
"get_process_details": {}
}
}get_process_details is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Deep process details: modules, handle count, threads, command line,. It is categorised as a Read tool in the Procmon MCP Server, which means it retrieves data without modifying state.
Register the Procmon MCP server in PolicyLayer and add a rule for get_process_details: 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 Procmon. Nothing to install.
get_process_details 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_process_details 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_process_details. 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_process_details is provided by the Procmon MCP server (0xhackerfren/procmon-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 18 Procmon tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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18 Procmon tools catalogued and risk-classified — across an index of 42,500+ MCP servers.