list_snapshots

Lists snapshots in a project providing basic information per snapshot including name, id, status, creation time, disk size, storage bytes, source disk, and source disk id. Requires project as input.

SERVERMcp SOURCEhttps://compute.googleapis.com/mcp

Low RISK CLASS

Category Read

Parameters 31 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-googleapis-compute-mcp/list-snapshots.md

WHAT IT DOES

What list_snapshots does on Mcp

AI agents call list_snapshots to retrieve information from Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`project`	string	Yes	Required. Project ID for this request.
`pageSize`	integer	—	Optional. The maximum number of snapshots to return.
`pageToken`	string	—	Optional. A page token received from a previous call to list snapshots.

Parameters from the server's own tool schema.

RISK

Why list_snapshots is rated Low

This tool queries and returns snapshot metadata (name, id, status, creation time, disk size, storage bytes, source disk, source disk id). It performs no modifications, deletions, or external operations. The action is purely informational retrieval, fitting the Read category.

From the tool's definition Tool name is 'list_snapshots' and description states it 'Lists snapshots in a project providing basic information per snapshot' — a retrieval operation with no side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs list_snapshots safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_snapshots, this is the rule to start with:

list_snapshots Allowed

list_snapshots is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_snapshots": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every list_snapshots call is checked against it from then on.

FAQ

Questions about list_snapshots

What does the list_snapshots tool do? +

Lists snapshots in a project providing basic information per snapshot including name, id, status, creation time, disk size, storage bytes, source disk, and source disk id. Requires project as input. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.

What parameters does list_snapshots accept? +

list_snapshots accepts 3 parameters: project, pageSize, pageToken. Required: project. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on list_snapshots? +

Register the MCP server in PolicyLayer and add a rule for list_snapshots: 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_snapshots? +

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

Can I rate-limit list_snapshots? +

Yes. Add a rate_limit block to the list_snapshots 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_snapshots completely? +

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

list_snapshots 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.

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