patch_multipart · Reqable MCP: Risk & Policy

WHAT IT DOES

What patch_multipart does on Reqable

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

WHY IT NEEDS A POLICY

Why patch_multipart needs a policy

An AI agent can call patch_multipart faster than any human can review — one bad instruction and it creates or modifies resources in Reqable by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

patch_multipart Rate-limited

patch_multipart 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": {
    "patch_multipart": {
      "limits": [
        {
          "counter": "patch_multipart_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 Reqable, so you can run agents against it safely.

FAQ

Questions about patch_multipart

What does the patch_multipart tool do? +

patch_multipart. It is categorised as a Write tool in the Reqable MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on patch_multipart? +

Register the Reqable MCP server in PolicyLayer and add a rule for patch_multipart: 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 Reqable. Nothing to install.

What risk level is patch_multipart? +

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

Can I rate-limit patch_multipart? +

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

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

patch_multipart is provided by the Reqable MCP server (wanghaibo10/reqable-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.