complete_bug · Qa Workflow MCP: Risk & Policy

WHAT IT DOES

What complete_bug does on Qa Workflow

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

WHY IT NEEDS A POLICY

Why complete_bug needs a policy

The tool likely updates a bug record's status (e.g., from pending to completed), which is a reversible data modification. It does not delete data (would be Destructive) or execute arbitrary code (would be Execute). The empty description lowers confidence slightly, but the name and server purpose clearly indicate a Write operation.

From the tool's definition Tool name 'complete_bug' combined with server context describing a 'QA bug-fix workflow' that 'cycles through pending issues' indicates the tool marks or completes bug reports in a queue, modifying workflow state.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

complete_bug Rate-limited

complete_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": {
    "complete_bug": {
      "limits": [
        {
          "counter": "complete_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 Qa Workflow, so you can run agents against it safely.

FAQ

Questions about complete_bug

What does the complete_bug tool do? +

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

How do I enforce a policy on complete_bug? +

Register the Qa Workflow MCP server in PolicyLayer and add a rule for complete_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 Qa Workflow. Nothing to install.

What risk level is complete_bug? +

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

Can I rate-limit complete_bug? +

Yes. Add a rate_limit block to the complete_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 complete_bug completely? +

Set action: deny in the PolicyLayer policy for complete_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 complete_bug? +

complete_bug is provided by the Qa Workflow MCP server (wtechtec/agentation-qa-skill). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.