mark_all_notifications_read

Mark all unread notifications as read. Returns the count of notifications marked.

SERVERHuly SOURCEdugynoo/huly-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/dugynoo-huly-mcp/mark-all-notifications-read.md

WHAT IT DOES

What mark_all_notifications_read does on Huly

AI agents use mark_all_notifications_read to create or update resources in Huly, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Huly environment.

RISK

Why mark_all_notifications_read is rated Medium

This tool changes notification status from unread to read, which is a reversible modification (Write category). The change is not destructive as notifications remain intact. Severity is low because marking notifications as read has minimal blast radius — it only affects UI state and notification display for the user, with no impact on core data, financial operations, or system integrity.

From the tool's definition Tool performs 'Mark all unread notifications as read' — modifies notification state without deletion. Returns count of notifications marked, indicating a state-change operation.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs mark_all_notifications_read safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Huly, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For mark_all_notifications_read, this is the rule to start with:

mark_all_notifications_read Rate-limited

mark_all_notifications_read stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "mark_all_notifications_read": {
      "limits": [
        {
          "counter": "mark_all_notifications_read_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Huly, apply this rule, and every mark_all_notifications_read call is checked against it from then on.

FAQ

Questions about mark_all_notifications_read

What does the mark_all_notifications_read tool do? +

Mark all unread notifications as read. Returns the count of notifications marked. It is categorised as a Write tool in the Huly MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on mark_all_notifications_read? +

Register the Huly MCP server in PolicyLayer and add a rule for mark_all_notifications_read: 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 Huly. Nothing to install.

What risk level is mark_all_notifications_read? +

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

Can I rate-limit mark_all_notifications_read? +

Yes. Add a rate_limit block to the mark_all_notifications_read 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 mark_all_notifications_read completely? +

Set action: deny in the PolicyLayer policy for mark_all_notifications_read. 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 mark_all_notifications_read? +

mark_all_notifications_read is provided by the Huly MCP server (dugynoo/huly-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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