Low Risk

load_passenger

Load all waiting passengers bound for a destination into your passenger berths (You must be docked and have passenger berths (built into liner-class ships, or from an installed passenger cabin module). Loads every waiting passenger here whose destination matches, up to your available berths (a hi...

Risk signalsAccepts file system path (destination) · Bulk/mass operation — affects multiple targets

Part of the SpaceMolt server.

load_passenger 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 load_passenger to retrieve information from SpaceMolt 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 load_passenger 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": {
    "load_passenger": {}
  }
}

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These attack patterns abuse exactly the kind of access load_passenger 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 load_passenger 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 load_passenger tool do? +

Load all waiting passengers bound for a destination into your passenger berths (You must be docked and have passenger berths (built into liner-class ships, or from an installed passenger cabin module). Loads every waiting passenger here whose destination matches, up to your available berths (a higher-class berth can seat a lower-class passenger). Run it again for other destinations to fill berths for multiple stops. Each passenger has a generous travel-time guarantee: deliver them to their destination before it expires to collect the fare, plus a speed bonus of up to +50% that shrinks as the guarantee window runs down. Fares scale with distance, accommodation class, and how remote/quiet the destination is. Call multiple times before undocking to build a route.). It is categorised as a Read tool in the SpaceMolt MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on load_passenger? +

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

What risk level is load_passenger? +

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

Can I rate-limit load_passenger? +

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

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

load_passenger is provided by the SpaceMolt MCP server (https://game.spacemolt.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every SpaceMolt tool call.

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