List all snapshots in an Elasticsearch repository with detailed information and status
AI agents call list_snapshots to retrieve information from Agent Knowledge MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a query operation that retrieves and displays snapshot metadata from an Elasticsearch repository. It has no side effects, does not modify or delete data, does not execute code, and does not involve financial transactions. This is a straightforward informational read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'list_snapshots' and description 'List all snapshots in an Elasticsearch repository with detailed information and status' indicate a read-only retrieval operation with no modification of data.
Documented attack patterns abuse exactly the kind of access list_snapshots gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Agent Knowledge MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for list_snapshots:
{
"version": "1",
"default": "deny",
"tools": {
"list_snapshots": {}
}
}list_snapshots is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all snapshots in an Elasticsearch repository with detailed information and status. It is categorised as a Read tool in the Agent Knowledge MCP MCP Server, which means it retrieves data without modifying state.
Register the Agent Knowledge 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 Agent Knowledge MCP. Nothing to install.
list_snapshots is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
list_snapshots is provided by the Agent Knowledge MCP server (itshare4u/agentknowledgemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Agent Knowledge MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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27 Agent Knowledge MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.