Low Risk

raw_map_layer_by_avalanche_center

Return the raw Avalanche.org map-layer GeoJSON FeatureCollection for a specific avalanche center ID. Supports an optional historic day (YYYY-MM-DD).

Part of the Avalanche Org server.

raw_map_layer_by_avalanche_center 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 raw_map_layer_by_avalanche_center to retrieve information from Avalanche Org 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 raw_map_layer_by_avalanche_center 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": {
    "raw_map_layer_by_avalanche_center": {}
  }
}

See the full Avalanche Org policy for all 4 tools.

Get this rule live on your own Avalanche Org 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 raw_map_layer_by_avalanche_center 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 raw_map_layer_by_avalanche_center 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 raw_map_layer_by_avalanche_center tool do? +

Return the raw Avalanche.org map-layer GeoJSON FeatureCollection for a specific avalanche center ID. Supports an optional historic day (YYYY-MM-DD).. It is categorised as a Read tool in the Avalanche Org MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on raw_map_layer_by_avalanche_center? +

Register the Avalanche Org MCP server in PolicyLayer and add a rule for raw_map_layer_by_avalanche_center: 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 Avalanche Org. Nothing to install.

What risk level is raw_map_layer_by_avalanche_center? +

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

Can I rate-limit raw_map_layer_by_avalanche_center? +

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

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

raw_map_layer_by_avalanche_center is provided by the Avalanche Org MCP server (avalanche-org-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Avalanche Org tool call.

Deterministic rules across all 4 Avalanche Org tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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