update_object · DevRev MCP server MCP: Risk & Policy

WHAT IT DOES

What update_object does on DevRev MCP server

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

WHY IT NEEDS A POLICY

Why update_object needs a policy

This tool modifies data (issues/tickets) in a reversible manner, making it a Write operation rather than Read (which would be retrieval only) or Destructive (which would be irreversible deletion). The severity is medium because misuse could corrupt or alter important issue tracking data, but the changes could typically be reverted by subsequent updates.

From the tool's definition The tool description explicitly states it updates "an existing issue or ticket in DevRev". The server description confirms it enables "creating, and updating issues and tickets". Update operations are reversible modifications to data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_object Rate-limited

update_object 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": {
    "update_object": {
      "limits": [
        {
          "counter": "update_object_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 DevRev MCP server, so you can run agents against it safely.

FAQ

Questions about update_object

What does the update_object tool do? +

Update an existing issue or ticket in DevRev. It is categorised as a Write tool in the DevRev MCP server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_object? +

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

What risk level is update_object? +

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

Can I rate-limit update_object? +

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

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

update_object is provided by the DevRev MCP server MCP server (smithery-ai/mcp-server-7). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.