save_research_files · Kavi Research Assistant MCP

WHAT IT DOES

What save_research_files does on Kavi Research Assistant

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

WHY IT NEEDS A POLICY

Why save_research_files needs a policy

This tool creates and stores new data in a vector database, which is a reversible write operation. It does not execute arbitrary code, delete data, or involve financial transactions. Severity is medium because unauthorized use could pollute the research database with incorrect or sensitive information, but the operation is reversible (data can be deleted via the sibling delete_research_topic tool).

From the tool's definition Tool description states it will 'save' files to a vector database. The verb 'save' indicates data creation/modification. The tool processes input files (.pdf, .txt, .docx) and stores their content persistently in a database.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

save_research_files Rate-limited

save_research_files 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_files": {
      "limits": [
        {
          "counter": "save_research_files_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 Kavi Research Assistant, so you can run agents against it safely.

FAQ

Questions about save_research_files

What does the save_research_files tool do? +

Parse and save text from files (.pdf, .txt, .docx) to vector database. It is categorised as a Write tool in the Kavi Research Assistant 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_files? +

Register the Kavi Research Assistant MCP server in PolicyLayer and add a rule for save_research_files: 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 Kavi Research Assistant. Nothing to install.

What risk level is save_research_files? +

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

Can I rate-limit save_research_files? +

Yes. Add a rate_limit block to the save_research_files 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_files completely? +

Set action: deny in the PolicyLayer policy for save_research_files. 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_files? +

save_research_files is provided by the Kavi Research Assistant MCP server (machhakiran/kavi-research-assistant-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.