update_bug · Targetprocess MCP: Risk & Policy

WHAT IT DOES

What update_bug does on Targetprocess

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

WHY IT NEEDS A POLICY

Why update_bug needs a policy

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

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_bug Rate-limited

update_bug 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_bug": {
      "limits": [
        {
          "counter": "update_bug_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 Targetprocess, so you can run agents against it safely.

FAQ

Questions about update_bug

What does the update_bug tool do? +

Update a bug card with data proded from user input. NOTE: pass only the fields that user wants to update. CRITICAL WORKFLOW: Before calling this tool, you MUST follow these steps: 1) IF the user specified a team by name (not ID), call. It is categorised as a Write tool in the Targetprocess 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_bug? +

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

What risk level is update_bug? +

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

Can I rate-limit update_bug? +

Yes. Add a rate_limit block to the update_bug 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_bug completely? +

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

update_bug is provided by the Targetprocess MCP server (targetprocess-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.