ralph_hero__create_views · Ralph Hero MCP: Risk & Policy

WHAT IT DOES

What ralph_hero__create_views does on Ralph Hero

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

WHY IT NEEDS A POLICY

Why ralph_hero__create_views needs a policy

This tool creates new views in a GitHub Project V2, which is a write operation—it modifies project structure reversibly. While it involves reading source data, the primary action is creation/writing of views to a target project. This is not destructive (views can be deleted), not execute/code-run (it's a structured API call), and not financial.

From the tool's definition Tool "creates matching views in the target" project, which is a reversible creation/modification of project configuration data. The tool reads from source and writes to target via REST API.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ralph_hero__create_views Rate-limited

ralph_hero__create_views 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": {
    "ralph_hero__create_views": {
      "limits": [
        {
          "counter": "ralph_hero__create_views_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 Ralph Hero, so you can run agents against it safely.

FAQ

Questions about ralph_hero__create_views

What does the ralph_hero__create_views tool do? +

Copy views from a source GitHub Project V2 to a target project using the REST API. Reads view names, layouts, and filter strings from the source project via GraphQL, then creates matching views in the target. Note: sort/group configuration is not available via API and must be set manually after creation. It is categorised as a Write tool in the Ralph Hero MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ralph_hero__create_views? +

Register the Ralph Hero MCP server in PolicyLayer and add a rule for ralph_hero__create_views: 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 Ralph Hero. Nothing to install.

What risk level is ralph_hero__create_views? +

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

Can I rate-limit ralph_hero__create_views? +

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

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

ralph_hero__create_views is provided by the Ralph Hero MCP server (ralph-hero-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.