Assign an incident to a GreyMatter user. input: AssignIncidentInput { incidentId, assigneeId }. Resolve assigneeId via the customer/users query. Variables: input. Example variables: {\
AI agents use assign_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.
This tool creates or modifies data reversibly by changing incident assignment metadata. An AI agent could inadvertently assign critical incidents to wrong users, disrupting incident response workflows, but the action is not financial, destructive (data is not deleted), or executing arbitrary code. The impact is operational and reversible through reassignment.
From the tool's definition Tool description states 'Assign an incident to a GreyMatter user' with inputs incidentId and assigneeId, which modifies the assignment state of an incident record.
Attacks that exploit this kind of access
Assign an incident to a GreyMatter user. input: AssignIncidentInput { incidentId, assigneeId }. Resolve assigneeId via the customer/users query. 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.
Register the ReliaQuest GreyMatter MCP Server MCP server in PolicyLayer and add a rule for assign_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.
assign_incident is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the assign_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.
Set action: deny in the PolicyLayer policy for assign_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.
assign_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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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