Get current esa.io user information
AI agents call user_get_info to retrieve information from Mcp Esa Server Python without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns user profile data from the esa.io API without modifying, creating, or deleting any data. It is a simple read operation with minimal security impact if misused by an AI agent—the worst outcome would be unauthorized disclosure of user metadata already associated with the authenticated account.
From the tool's definition Tool name 'user_get_info' and description 'Get current esa.io user information' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get current esa.io user information. It is categorised as a Read tool in the Mcp Esa Server Python MCP Server, which means it retrieves data without modifying state.
Register the Mcp Esa Server Python MCP server in PolicyLayer and add a rule for user_get_info: 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 Esa Server Python. Nothing to install.
user_get_info 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 user_get_info 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 user_get_info. 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.
user_get_info is provided by the Mcp Esa Server Python MCP server (scnsh/mcp-esa-server-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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