Low Risk

flood

"Flood risk for [river]" / "river discharge forecast" / "will [river] flood" / "water levels at [location]" — daily river discharge forecast from the GloFAS global flood model. Returns predicted m³/s discharge up to 30 days ahead for any river-bearing lat/lng worldwide. Use for flood risk assessm...

Part of the Open Meteo server.

flood is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call flood to retrieve information from Open Meteo without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though flood only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

See the full Open Meteo policy for all 26 tools.

Get this rule live on your own Open Meteo server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access flood gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so flood only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the flood tool do? +

"Flood risk for [river]" / "river discharge forecast" / "will [river] flood" / "water levels at [location]" — daily river discharge forecast from the GloFAS global flood model. Returns predicted m³/s discharge up to 30 days ahead for any river-bearing lat/lng worldwide. Use for flood risk assessment, agriculture planning, hydrology research.. It is categorised as a Read tool in the Open Meteo MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on flood? +

Register the Open Meteo MCP server in PolicyLayer and add a rule for flood: 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 Open Meteo. Nothing to install.

What risk level is flood? +

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

Can I rate-limit flood? +

Yes. Add a rate_limit block to the flood 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 flood completely? +

Set action: deny in the PolicyLayer policy for flood. 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 flood? +

flood is provided by the Open Meteo MCP server (https://gateway.pipeworx.io/open-meteo/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Open Meteo tool call.

Deterministic rules across all 26 Open Meteo tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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