Low Risk

orbital_data_centers

DATA CENTERS IN SPACE — curated registry of compute/AI spacecraft in orbit (Starcloud's NVIDIA H100 GPU, ESA Φsat-2 AI edge, D-Orbit in-orbit cloud), each enriched with LIVE orbital data (altitude, period, inclination) and the speed-of-light round-trip latency floor for ground links. Use for "wha...

Part of the Dynamic Feed server.

orbital_data_centers 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 orbital_data_centers to retrieve information from Dynamic Feed 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 orbital_data_centers 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": {
    "orbital_data_centers": {}
  }
}

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

DATA CENTERS IN SPACE — curated registry of compute/AI spacecraft in orbit (Starcloud's NVIDIA H100 GPU, ESA Φsat-2 AI edge, D-Orbit in-orbit cloud), each enriched with LIVE orbital data (altitude, period, inclination) and the speed-of-light round-trip latency floor for ground links. Use for "what data centers / compute are in space, and the latency to reach them". Unique data.. It is categorised as a Read tool in the Dynamic Feed MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on orbital_data_centers? +

Register the Dynamic Feed MCP server in PolicyLayer and add a rule for orbital_data_centers: 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 Dynamic Feed. Nothing to install.

What risk level is orbital_data_centers? +

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

Can I rate-limit orbital_data_centers? +

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

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

orbital_data_centers is provided by the Dynamic Feed MCP server (https://dynamicfeed.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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