update_user

User \u00b7 mutation updateUser. Variables: after, filter, first, order, after1, filter1, first1, order1, after2, filter2, first2, order2, input. Example variables: {\

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

What update_user does on ReliaQuest GreyMatter MCP Server

AI agents use update_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.

Why update_user needs a policy

The tool explicitly performs a 'mutation updateUser' operation, which modifies user records. This is a Write action rather than Read (which would be queries). It is not Destructive (user records are typically reversible through another update), nor Execute/Financial.

From the tool's definition Tool is a GraphQL mutation named 'updateUser' that modifies user data with input variables. The description indicates mutation operation (write) with multiple filter and pagination parameters suggesting broad scope.

Questions about update_user

What does the update_user tool do? +

User \u00b7 mutation updateUser. Variables: after, filter, first, order, after1, filter1, first1, order1, after2, filter2, first2, order2, 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 update_user? +

Register the ReliaQuest GreyMatter MCP Server MCP server in PolicyLayer and add a rule for update_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.

What risk level is update_user? +

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

Can I rate-limit update_user? +

Yes. Add a rate_limit block to the update_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.

How do I block update_user completely? +

Set action: deny in the PolicyLayer policy for update_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.

What MCP server provides update_user? +

update_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.

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