List interviews for the account. Supports rich multi-value filters: by job, application, candidate, interviewer, organizer, recruiter, department, office, status, kind, location, AI note-taker flag, and start_time window. Cancelled interviews are included by default — use
AI agents call list_interviews to retrieve information from Kula Ai without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and filters existing interview records with no side effects. It is a classic Read operation: searching/listing data based on various filter criteria (job, application, candidate, interviewer, status, etc.).
From the tool's definition Tool name is 'list_interviews' and description states 'List interviews' with 'Supports rich multi-value filters' — a read-only query operation that retrieves interview data without modifying, creating, or deleting records.
Attacks that exploit this kind of access
List interviews for the account. Supports rich multi-value filters: by job, application, candidate, interviewer, organizer, recruiter, department, office, status, kind, location, AI note-taker flag, and start_time window. Cancelled interviews are included by default — use. It is categorised as a Read tool in the Kula Ai MCP Server, which means it retrieves data without modifying state.
Register the Kula Ai MCP server in PolicyLayer and add a rule for list_interviews: 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 Kula Ai. Nothing to install.
list_interviews 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_interviews 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_interviews. 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_interviews is provided by the Kula Ai MCP server (kula-ai/kula-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.
Teams ship this data inside their own products. See what a licence covers →