acknowledge_task · ReliaQuest GreyMatter MCP Server MCP

WHAT IT DOES

What acknowledge_task does on ReliaQuest GreyMatter MCP Server

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

WHY IT NEEDS A POLICY

Why acknowledge_task needs a policy

Acknowledging a task modifies its state (marking it as reviewed/processed) but is reversible. This is a Write operation: it changes data without deletion or execution of arbitrary code. Severity is medium because task acknowledgment in an incident response platform affects operational state, but the impact is localized to task metadata rather than critical infrastructure or data destruction.

From the tool's definition Tool named 'acknowledge_task' with description indicating 'mutation acknowledgeTask' — GraphQL mutation denotes a state-changing operation. The presence of 'input' variable suggests structured data modification.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

acknowledge_task Rate-limited

acknowledge_task 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": {
    "acknowledge_task": {
      "limits": [
        {
          "counter": "acknowledge_task_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 ReliaQuest GreyMatter MCP Server, so you can run agents against it safely.

FAQ

Questions about acknowledge_task

What does the acknowledge_task tool do? +

Tasks \u00b7 mutation acknowledgeTask. Variables: after, filter, first, order, input. Example variables: {\. It is categorised as a Write tool in the ReliaQuest GreyMatter 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 acknowledge_task? +

Register the ReliaQuest GreyMatter MCP Server MCP server in PolicyLayer and add a rule for acknowledge_task: 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 ReliaQuest GreyMatter MCP Server. Nothing to install.

What risk level is acknowledge_task? +

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

Can I rate-limit acknowledge_task? +

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

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

acknowledge_task is provided by the ReliaQuest GreyMatter MCP Server MCP server (space-c0wboy/reliaquest-greymatter-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.