save_research_note_tool · Interview Prep MCP: Risk & Policy

WHAT IT DOES

What save_research_note_tool does on Interview Prep

AI agents use save_research_note_tool to create or update resources in Interview Prep — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Interview Prep environment.

WHY IT NEEDS A POLICY

Why save_research_note_tool needs a policy

This tool creates or stores a research note, which is a write operation. The data persisted is educational/preparatory notes with no side effects on external systems, financial impact, or irreversible consequences. Severity is low because misuse would only affect the user's own interview prep notes, with limited blast radius.

From the tool's definition Tool name explicitly states 'save' and description uses 'Persist a research note' — both indicate creating/storing data. Markdown content storage is reversible modification.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

save_research_note_tool Rate-limited

save_research_note_tool stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "save_research_note_tool": {
      "limits": [
        {
          "counter": "save_research_note_tool_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Interview Prep, so you can run agents against it safely.

FAQ

Questions about save_research_note_tool

What does the save_research_note_tool tool do? +

Persist a research note for a prep session. Markdown content is fine. It is categorised as a Write tool in the Interview Prep MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on save_research_note_tool? +

Register the Interview Prep MCP server in PolicyLayer and add a rule for save_research_note_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.

What risk level is save_research_note_tool? +

save_research_note_tool is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit save_research_note_tool? +

Yes. Add a rate_limit block to the save_research_note_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.

How do I block save_research_note_tool completely? +

Set action: deny in the PolicyLayer policy for save_research_note_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.

What MCP server provides save_research_note_tool? +

save_research_note_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.