DRP Access Control \u00b7 mutation updateAccessControlPolicies. Variables: after, first, notFilter, order, after1, first1, notFilter1, input. Example variables: {\
AI agents use update_access_control_policies 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 modifies security-critical access control policies through a GraphQL mutation. While reversible (Write rather than Destructive), misconfiguration or unauthorized changes to access control policies could grant unintended permissions, disable security controls, or compromise account security.
From the tool's definition Tool name 'update_access_control_policies' indicates mutation operation that modifies access control policies. Described as 'DRP Access Control · mutation updateAccessControlPolicies' with input variables, confirming it creates or modifies access control data.
Attacks that exploit this kind of access
DRP Access Control \u00b7 mutation updateAccessControlPolicies. Variables: after, first, notFilter, order, after1, first1, notFilter1, 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 update_access_control_policies: 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.
update_access_control_policies 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 update_access_control_policies 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 update_access_control_policies. 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.
update_access_control_policies 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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