mark_message_as_read · PyWA MCP Server MCP: Risk & Policy

WHAT IT DOES

What mark_message_as_read does on PyWA MCP Server

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

WHY IT NEEDS A POLICY

Why mark_message_as_read needs a policy

This tool modifies message state (marking as read) which is a reversible write operation. It does not retrieve data (Read), execute arbitrary code (Execute), permanently delete data (Destructive), or move money (Financial). The blast radius is minimal—changing read status is a benign metadata update with no harmful side effects if misused by an agent.

From the tool's definition Tool name 'mark_message_as_read' and description 'Mark a message as read' indicate a state modification operation on WhatsApp messages. This updates message metadata (read status) rather than retrieving data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

mark_message_as_read Rate-limited

mark_message_as_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_message_as_read": {
      "limits": [
        {
          "counter": "mark_message_as_read_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches PyWA MCP Server, so you can run agents against it safely.

FAQ

Questions about mark_message_as_read

What does the mark_message_as_read tool do? +

Mark a message as read. It is categorised as a Write tool in the PyWA MCP Server 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_message_as_read? +

Register the PyWA MCP Server MCP server in PolicyLayer and add a rule for mark_message_as_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 PyWA MCP Server. Nothing to install.

What risk level is mark_message_as_read? +

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

Can I rate-limit mark_message_as_read? +

Yes. Add a rate_limit block to the mark_message_as_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_message_as_read completely? +

Set action: deny in the PolicyLayer policy for mark_message_as_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_message_as_read? +

mark_message_as_read is provided by the PyWA MCP Server MCP server (jem-hr/pywa-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.