search_elasticsearch_logs
AI agents call search_elasticsearch_logs to retrieve information from Elasticsearch MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves log data from Elasticsearch without modifying, deleting, or executing code. However, severity is elevated to 'high' because logs often contain sensitive information (credentials, personal data, system internals), and an AI agent with unrestricted access could exfiltrate confidential data.
From the tool's definition Tool name 'search_elasticsearch_logs' and server context indicate log retrieval operations. Server description states it enables 'log analysis through natural language queries' and 'ask questions about their logs', which are read operations.
Attacks that exploit this kind of access
search_elasticsearch_logs. It is categorised as a Read tool in the Elasticsearch MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Elasticsearch MCP Server MCP server in PolicyLayer and add a rule for search_elasticsearch_logs: 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 MCP Server. Nothing to install.
search_elasticsearch_logs 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 search_elasticsearch_logs 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 search_elasticsearch_logs. 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.
search_elasticsearch_logs is provided by the Elasticsearch MCP Server MCP server (y0zg/mcp-elasticsearch). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →