User \u00b7 mutation enableUser. Variables: after, filter, first, order, after1, filter1, first1, order1, after2, filter2, first2, order2, user. Example variables: {\
AI agents use enable_user 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.
Enabling a user is a reversible modification to user status/permissions in an access control system. It creates or modifies account state without permanently destroying data. This is less severe than Destructive (which would be permanent deletion) but more severe than Read operations. It could allow unauthorized access if misused by an AI agent, but remains reversible through a disable_user operation.
From the tool's definition Tool name 'enable_user' and description indicating a 'mutation enableUser' indicates a state-changing operation that modifies user data/status.
Attacks that exploit this kind of access
User \u00b7 mutation enableUser. Variables: after, filter, first, order, after1, filter1, first1, order1, after2, filter2, first2, order2, user. 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 enable_user: 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.
enable_user 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 enable_user 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 enable_user. 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.
enable_user 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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