Low Risk

list_datasets

List the OpenFEMA datasets this pack knows about, with their entity name, current version, and a description. Also documents the OData filter syntax and response shape. Call this first to discover what query_dataset can target.

Part of the Openfema server.

list_datasets 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 list_datasets to retrieve information from Openfema 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 list_datasets 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": {
    "list_datasets": {}
  }
}

See the full Openfema policy for all 23 tools.

Get this rule live on your own Openfema 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 list_datasets 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 list_datasets 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 list_datasets tool do? +

List the OpenFEMA datasets this pack knows about, with their entity name, current version, and a description. Also documents the OData filter syntax and response shape. Call this first to discover what query_dataset can target.. It is categorised as a Read tool in the Openfema MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_datasets? +

Register the Openfema MCP server in PolicyLayer and add a rule for list_datasets: 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 Openfema. Nothing to install.

What risk level is list_datasets? +

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

Can I rate-limit list_datasets? +

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

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

list_datasets is provided by the Openfema MCP server (https://gateway.pipeworx.io/openfema/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Openfema tool call.

Deterministic rules across all 23 Openfema tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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