AI agents call getv2users to retrieve information from Gong without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves a paginated list of users from the Gong platform. It performs a read-only query with no side effects, data modification, or external operations triggered. The pagination mechanism (100-row pages) is typical of list/fetch operations. The blast radius of misuse is low—an agent could retrieve user information but cannot create, modify, or delete data through this endpoint.
From the tool's definition Tool name 'getv2users' and description 'List Gong users (100-row pages)' indicate a retrieval operation that queries user data without modifying it.
Attacks that exploit this kind of access
List Gong users (100-row pages). It is categorised as a Read tool in the Gong MCP Server, which means it retrieves data without modifying state.
Register the Gong MCP server in PolicyLayer and add a rule for getv2users: 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 Gong. Nothing to install.
getv2users 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 getv2users 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 getv2users. 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.
getv2users is provided by the Gong MCP server (max-paulus/gong-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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