DRP Access Control \u00b7 query accessControlPolicy. Variables: after, first, notFilter, order, after1, first1, after2, first2, after3, first3, notFilter1, id. Example variables: {\
AI agents call access_control_policy to retrieve information from ReliaQuest GreyMatter MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only query tool for retrieving access control policy information from the GreyMatter platform. It accepts pagination and filtering parameters but performs no side effects—it only retrieves existing data. The description indicates it queries a resource without modification capabilities, making it a standard Read operation with low severity and low blast radius for misuse.
From the tool's definition Tool name is 'access_control_policy' with 'query accessControlPolicy'. Contains only query/filter parameters (after, first, notFilter, order, id) typical of data retrieval with pagination and filtering, no mutation, create, update, delete, or execute keywords…
Attacks that exploit this kind of access
DRP Access Control \u00b7 query accessControlPolicy. Variables: after, first, notFilter, order, after1, first1, after2, first2, after3, first3, notFilter1, id. Example variables: {\. It is categorised as a Read tool in the ReliaQuest GreyMatter MCP Server MCP Server, which means it retrieves data without modifying state.
Register the ReliaQuest GreyMatter MCP Server MCP server in PolicyLayer and add a rule for 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.
access_control_policy is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the 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 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.
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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