editor-or-admin
A tool accessible to editors OR admins (anyOf combinator)
This record as markdown: /tools/frontmcp/editor-or-admin.md
What editor-or-admin does on Frontmcp
AI agents call editor-or-admin to retrieve information from Frontmcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why editor-or-admin is rated Low
Even though editor-or-admin only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs editor-or-admin safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Frontmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For editor-or-admin, this is the rule to start with:
editor-or-admin is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Frontmcp, apply this rule, and every editor-or-admin call is checked against it from then on.
Questions about editor-or-admin
A tool accessible to editors OR admins (anyOf combinator). It is categorised as a Read tool in the Frontmcp MCP Server, which means it retrieves data without modifying state.
Register the Front MCP server in PolicyLayer and add a rule for editor-or-admin: 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 Frontmcp. Nothing to install.
editor-or-admin 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 editor-or-admin 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 editor-or-admin. 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.
editor-or-admin is provided by the Front MCP server (agentfront/frontmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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