list_aliases

List all aliases.

Server Elasticsearch/OpenSearch MCP Server rbedoyag/elasticsearch-mcp-server
Category Read
Risk class Low
Parameters 00 required

What list_aliases does on Elasticsearch/OpenSearch MCP Server

AI agents call list_aliases to retrieve information from Elasticsearch/OpenSearch MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why list_aliases needs a policy

The tool retrieves and enumerates alias configurations from the Elasticsearch/OpenSearch cluster. This is a pure query operation that does not modify, create, or destroy any data or indices. Listing aliases is informational and has no blast radius if invoked by an AI agent.

From the tool's definition Tool name 'list_aliases' and description 'List all aliases' indicate a retrieval operation with no side effects. Aliases are metadata about index configurations, not data mutation or deletion.

Questions about list_aliases

What does the list_aliases tool do? +

List all aliases. It is categorised as a Read tool in the Elasticsearch/OpenSearch MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_aliases? +

Register the Elasticsearch/OpenSearch MCP Server MCP server in PolicyLayer and add a rule for list_aliases: 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 Elasticsearch/OpenSearch MCP Server. Nothing to install.

What risk level is list_aliases? +

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

Can I rate-limit list_aliases? +

Yes. Add a rate_limit block to the list_aliases 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_aliases completely? +

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

list_aliases is provided by the Elasticsearch/OpenSearch MCP Server MCP server (rbedoyag/elasticsearch-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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