Monitor cloud service provider status (AWS, Azure, GCP, Cloudflare, GitHub). Shows active incidents and recent outages. Optional: provider (aws/azure/gcp/cloudflare/github).
AI agents call intel_service_status to retrieve information from Threat Intelligence MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves real-time status information about cloud service providers. It performs passive monitoring and reporting only—no data modification, code execution, deletion, or financial transactions occur. The optional parameter (provider selection) merely filters which service status to display.
From the tool's definition Tool name 'intel_service_status' and description 'Monitor cloud service provider status' and 'Shows active incidents and recent outages' indicate purely informational retrieval with no modification, execution, or side effects.
Documented attack patterns abuse exactly the kind of access intel_service_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Threat Intelligence MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for intel_service_status:
{
"version": "1",
"default": "deny",
"tools": {
"intel_service_status": {}
}
} intel_service_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Monitor cloud service provider status (AWS, Azure, GCP, Cloudflare, GitHub). Shows active incidents and recent outages. Optional: provider (aws/azure/gcp/cloudflare/github). It is categorised as a Read tool in the Threat Intelligence MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Threat Intelligence MCP Server MCP server in PolicyLayer and add a rule for intel_service_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 Threat Intelligence MCP Server. Nothing to install.
intel_service_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 intel_service_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 intel_service_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.
intel_service_status is provided by the Threat Intelligence MCP Server MCP server (marc-shade/world-intel-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Threat Intelligence MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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113 Threat Intelligence MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.