Get server information and available tools.
AI agents call get_server_info to retrieve information from CustomGPT MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only operation that returns informational data about the server and its available tools. It has no side effects, does not execute code, does not modify data, and does not perform destructive or financial operations. The blast radius is minimal—disclosure of available tools and server metadata poses low risk even if invoked by an AI agent without proper authorization.
From the tool's definition Tool name 'get_server_info' and description 'Get server information and available tools' indicate a retrieval operation that queries metadata about the server and its capabilities without modifying any data.
Attacks that exploit this kind of access
Get server information and available tools. It is categorised as a Read tool in the CustomGPT MCP Server MCP Server, which means it retrieves data without modifying state.
Register the CustomGPT MCP Server MCP server in PolicyLayer and add a rule for get_server_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 CustomGPT MCP Server. Nothing to install.
get_server_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 get_server_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 get_server_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.
get_server_info is provided by the CustomGPT MCP Server MCP server (poll-the-people/customgpt-mcp). 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.
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