Medium Risk

create_result_bulk

Create multiple test run results in bulk

How to control create_result_bulk ↓

What create_result_bulk does on QASE MCP Server

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

Medium Risk

Why create_result_bulk needs a policy

This tool creates test run results, which are new data records in the Qase platform. Creation is a reversible write operation (results can typically be edited or deleted).

From the tool's definition Tool name 'create_result_bulk' and description 'Create multiple test run results in bulk' indicate creation of multiple data records in the test management system.

Risk signalsBulk/mass operation — affects multiple targets

Documented attack patterns abuse exactly the kind of access create_result_bulk gives an agent:

How to control create_result_bulk

PolicyLayer is an MCP gateway — it sits between your AI agents and QASE MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_result_bulk:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_result_bulk": {
      "limits": [
        {
          "counter": "create_result_bulk_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

create_result_bulk 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.

  1. Create a free account and register QASE MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about create_result_bulk

What does the create_result_bulk tool do? +

Create multiple test run results in bulk. It is categorised as a Write tool in the QASE 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 create_result_bulk? +

Register the QASE MCP Server MCP server in PolicyLayer and add a rule for create_result_bulk: 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 QASE MCP Server. Nothing to install.

What risk level is create_result_bulk? +

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

Can I rate-limit create_result_bulk? +

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

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

create_result_bulk is provided by the QASE MCP Server MCP server (rikuson/mcp-qase). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every QASE MCP Server tool call.

Start from QASE MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

26 QASE MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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