export_results · Python MCP Server Template MCP

WHAT IT DOES

What export_results does on Python MCP Server Template

AI agents use export_results to create or update resources in Python MCP Server Template — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Python MCP Server Template environment.

WHY IT NEEDS A POLICY

Why export_results needs a policy

This tool creates or writes data to a file system, which is a reversible write operation. It does not execute arbitrary code, delete data, or move money. The severity is medium because exporting data could potentially expose sensitive information or fill disk space, but the impact is limited to file operations and the action is reversible (files can be deleted or overwritten).

From the tool's definition Tool name 'export_results' and description 'Export research results to a file' indicate creation/writing of data to persistent storage.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

export_results Rate-limited

export_results 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": {
    "export_results": {
      "limits": [
        {
          "counter": "export_results_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 Python MCP Server Template, so you can run agents against it safely.

FAQ

Questions about export_results

What does the export_results tool do? +

Export research results to a file. It is categorised as a Write tool in the Python MCP Server Template MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on export_results? +

Register the Python MCP Server Template MCP server in PolicyLayer and add a rule for export_results: 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 Python MCP Server Template. Nothing to install.

What risk level is export_results? +

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

Can I rate-limit export_results? +

Yes. Add a rate_limit block to the export_results 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 export_results completely? +

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

export_results is provided by the Python MCP Server Template MCP server (raido-star/ridiculous). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.