Low Risk

list_accelerator_types

Lists the available Google Compute Engine accelerator types. Requires project and zone as input. Returns accelerator types, including id, creation timestamp, name, description, deprecated, zone, and maximum cards per instance.

Part of the Mcp server.

list_accelerator_types 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_accelerator_types to retrieve information from Mcp 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_accelerator_types 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_accelerator_types": {}
  }
}

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so list_accelerator_types 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_accelerator_types tool do? +

Lists the available Google Compute Engine accelerator types. Requires project and zone as input. Returns accelerator types, including id, creation timestamp, name, description, deprecated, zone, and maximum cards per instance.. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_accelerator_types? +

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

What risk level is list_accelerator_types? +

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

Can I rate-limit list_accelerator_types? +

Yes. Add a rate_limit block to the list_accelerator_types 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_accelerator_types completely? +

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

list_accelerator_types is provided by the MCP server (https://compute.googleapis.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 Mcp tool call.

Deterministic rules across all 29 Mcp tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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