Low Risk

intel_climate_anomalies

Detect temperature and precipitation anomalies across 15 global climate zones (vs. prior year baseline).

How to control intel_climate_anomalies ↓

What intel_climate_anomalies does on Threat Intelligence MCP Server

AI agents call intel_climate_anomalies 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.

Low Risk

Why intel_climate_anomalies needs a policy

This tool retrieves and analyzes climate data to identify anomalies—a read-only operation. It produces informational output about temperature and precipitation patterns without creating, modifying, deleting, or executing any system operations. The worst-case misuse scenario is an AI agent fetching anomaly reports repeatedly or at scale, creating negligible risk. No side effects or blast radius.

From the tool's definition Tool 'intel_climate_anomalies' 'Detect temperature and precipitation anomalies across 15 global climate zones (vs. prior year baseline)'.

Documented attack patterns abuse exactly the kind of access intel_climate_anomalies gives an agent:

How to control intel_climate_anomalies

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_climate_anomalies:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "intel_climate_anomalies": {}
  }
}

intel_climate_anomalies is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Threat Intelligence MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about intel_climate_anomalies

What does the intel_climate_anomalies tool do? +

Detect temperature and precipitation anomalies across 15 global climate zones (vs. prior year baseline). It is categorised as a Read tool in the Threat Intelligence MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on intel_climate_anomalies? +

Register the Threat Intelligence MCP Server MCP server in PolicyLayer and add a rule for intel_climate_anomalies: 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.

What risk level is intel_climate_anomalies? +

intel_climate_anomalies is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit intel_climate_anomalies? +

Yes. Add a rate_limit block to the intel_climate_anomalies 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.

How do I block intel_climate_anomalies completely? +

Set action: deny in the PolicyLayer policy for intel_climate_anomalies. 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.

What MCP server provides intel_climate_anomalies? +

intel_climate_anomalies 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.

Enforce policy on every Threat Intelligence MCP Server tool call.

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.

Free to start. No card required.

113 Threat Intelligence MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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