Validate ARC RunnerScaleSets against security, compliance, performance, and cost policies. All policies are built into the MCP server - no external files needed. When called without parameters, provides helpful overview and checks for violations.
AI agents call arc_validate_policies to retrieve information from ARC Config MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and validates configuration state against predefined policies. It has no side effects, does not modify infrastructure, and does not execute arbitrary commands. While it operates on critical Kubernetes/GitHub Actions infrastructure, the validation function itself is non-destructive.
From the tool's definition The tool 'arc_validate_policies' performs validation and checking for policy violations. The description states it 'provides helpful overview and checks for violations' - language indicating inspection and reporting rather than modification.
Attacks that exploit this kind of access
Validate ARC RunnerScaleSets against security, compliance, performance, and cost policies. All policies are built into the MCP server - no external files needed. When called without parameters, provides helpful overview and checks for violations. It is categorised as a Read tool in the ARC Config MCP Server MCP Server, which means it retrieves data without modifying state.
Register the ARC Config MCP Server MCP server in PolicyLayer and add a rule for arc_validate_policies: 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 ARC Config MCP Server. Nothing to install.
arc_validate_policies 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 arc_validate_policies 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 arc_validate_policies. 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.
arc_validate_policies is provided by the ARC Config MCP Server MCP server (tsviz/arc-config-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.
Teams ship this data inside their own products. See what a licence covers →