Return all research notes for an interview, grouped by kind.
AI agents call get_research_tool to retrieve information from Interview Prep without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries existing research notes associated with an interview. It performs a read-only operation that returns data without side effects, making it a Read category tool.
From the tool's definition Tool description states 'Return all research notes for an interview, grouped by kind' — a retrieval operation with no modification, deletion, or execution capability.
Attacks that exploit this kind of access
Return all research notes for an interview, grouped by kind. It is categorised as a Read tool in the Interview Prep MCP Server, which means it retrieves data without modifying state.
Register the Interview Prep MCP server in PolicyLayer and add a rule for get_research_tool: 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 Interview Prep. Nothing to install.
get_research_tool 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_research_tool 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_research_tool. 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_research_tool is provided by the Interview Prep MCP server (shenmali/interview-mcp-first). 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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