acknowledge_incident

Acknowledge an incident. input: IncidentAcknowledgementInput { incidentId, acknowledgementMethod (e.g. WEB_UI), autoAssign }. Variables: input. Example variables: {\

Server ReliaQuest GreyMatter MCP Server space-c0wboy/reliaquest-greymatter-mcp-server
Category Write
Risk class Medium
Parameters 00 required

What acknowledge_incident does on ReliaQuest GreyMatter MCP Server

AI agents use acknowledge_incident 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 acknowledge_incident needs a policy

This tool creates/modifies incident metadata (acknowledgement status and assignment) without irreversibly destroying data or executing arbitrary operations. It is Write-class: reversible state changes to existing records.

From the tool's definition acknowledge_incident updates an incident's acknowledgement state and optionally auto-assigns it (autoAssign parameter), modifying incident data reversibly without deleting it.

Questions about acknowledge_incident

What does the acknowledge_incident tool do? +

Acknowledge an incident. input: IncidentAcknowledgementInput { incidentId, acknowledgementMethod (e.g. WEB_UI), autoAssign }. Variables: 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_incident? +

Register the ReliaQuest GreyMatter MCP Server MCP server in PolicyLayer and add a rule for acknowledge_incident: 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_incident? +

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

Can I rate-limit acknowledge_incident? +

Yes. Add a rate_limit block to the acknowledge_incident 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_incident completely? +

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

acknowledge_incident 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.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.