generate_dataset · ContextForge MCP Gateway MCP

WHAT IT DOES

What generate_dataset does on ContextForge MCP Gateway

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

WHY IT NEEDS A POLICY

Why generate_dataset needs a policy

The tool creates new data (a synthetic dataset) and stores it persistently, which is a reversible write operation. It does not execute arbitrary code, delete data, or move money. Severity is medium because synthetic dataset generation could consume storage resources or be used to create misleading training data, but the impact is bounded to data creation rather than system-wide effects.

From the tool's definition Tool description states it 'Generate[s] a synthetic dataset and persist[s] it for later retrieval' — this explicitly involves creating and storing data

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

generate_dataset Rate-limited

generate_dataset 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": {
    "generate_dataset": {
      "limits": [
        {
          "counter": "generate_dataset_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 ContextForge MCP Gateway, so you can run agents against it safely.

FAQ

Questions about generate_dataset

What does the generate_dataset tool do? +

Generate a synthetic dataset and persist it for later retrieval. It is categorised as a Write tool in the ContextForge MCP Gateway MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on generate_dataset? +

Register the ContextForge MCP Gateway MCP server in PolicyLayer and add a rule for generate_dataset: 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 ContextForge MCP Gateway. Nothing to install.

What risk level is generate_dataset? +

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

Can I rate-limit generate_dataset? +

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

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

generate_dataset is provided by the ContextForge MCP Gateway MCP server (jrmatherly/mcp-context-forge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.