AI agents call list_mocks to retrieve information from Postman without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about mock servers without creating, modifying, deleting, or executing any operations. It is a straightforward query operation with no side effects, placing it firmly in the Read category with low severity.
From the tool's definition The tool name is 'list_mocks' and the description is 'List all mock servers'. The verb 'list' indicates a read-only operation that retrieves and queries existing mock server data without modification.
Attacks that exploit this kind of access
List all mock servers. It is categorised as a Read tool in the Postman MCP Server, which means it retrieves data without modifying state.
Register the Postman MCP server in PolicyLayer and add a rule for list_mocks: 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 Postman. Nothing to install.
list_mocks 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 list_mocks 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 list_mocks. 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.
list_mocks is provided by the Postman MCP server (postmanv3/postman-mcp-server). 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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