system_status
Full diagnostics for a coding instance: runner connectivity, node name, tmux sessions, repos, issues — and
This record as markdown: /tools/io-github-proagentstore-platform/system-status.md
What system_status does on ProAgentStore
AI agents call system_status to retrieve information from ProAgentStore without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why system_status is rated Low
Retrieves system diagnostics and status information without modifying or executing operations.
From the tool's definition Full diagnostics, runner connectivity, node name, tmux sessions, repos, issues
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
The rule that runs system_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ProAgentStore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For system_status, this is the rule to start with:
system_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ProAgentStore, apply this rule, and every system_status call is checked against it from then on.
Questions about system_status
Full diagnostics for a coding instance: runner connectivity, node name, tmux sessions, repos, issues — and. It is categorised as a Read tool in the ProAgentStore MCP Server, which means it retrieves data without modifying state.
Register the ProAgentStore MCP server in PolicyLayer and add a rule for system_status: 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 ProAgentStore. Nothing to install.
system_status 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 system_status 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 system_status. 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.
system_status is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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