Assign a task to a GreyMatter user. input: AssignTaskInput { taskId, assigneeId }. Variables: after, filter, first, order, input. Example variables: {\
AI agents use assign_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.
Assigning tasks modifies the state of task metadata and workflows reversibly. This is a Write operation as it updates data (task assignment) without destroying information or executing arbitrary code. Severity is medium because misuse could disrupt incident response workflows by reassigning critical tasks to wrong parties, but the action is reversible by reassigning again.
From the tool's definition Tool description states 'Assign a task to a GreyMatter user' with inputs taskId and assigneeId. This modifies task assignment state by reassigning work items to users.
Attacks that exploit this kind of access
Assign a task to a GreyMatter user. input: AssignTaskInput { taskId, assigneeId }. 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.
Register the ReliaQuest GreyMatter MCP Server MCP server in PolicyLayer and add a rule for assign_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.
assign_task 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_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.
Set action: deny in the PolicyLayer policy for assign_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.
assign_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.
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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