DRP Access Control \u00b7 mutation createAccessControlPolicy. Variables: after, first, notFilter, order, after1, first1, notFilter1, input. Example variables: {\
AI agents use create_access_control_policy 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 (writes) access control policies, which are security-critical configurations that define permissions and resource access. While reversible (Write category, not Destructive), misuse could grant unauthorized access or escalate privileges, warranting high severity due to the security implications of policy creation.
From the tool's definition Tool name is 'create_access_control_policy' and description identifies it as a 'mutation createAccessControlPolicy', which creates a new access control policy in the system.
Attacks that exploit this kind of access
DRP Access Control \u00b7 mutation createAccessControlPolicy. 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 create_access_control_policy: 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.
create_access_control_policy 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 create_access_control_policy 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 create_access_control_policy. 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.
create_access_control_policy 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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