conversations_mark

Set the read cursor in a channel.

SERVERSlack SOURCEkarbassi/slack-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/karbassi-slack-mcp/conversations-mark.md

WHAT IT DOES

What conversations_mark does on Slack

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

RISK

Why conversations_mark is rated Medium

This tool modifies cursor position state in Slack channels, which is a reversible write operation. While not destructive, it alters user-visible application state. Severity is medium because misuse could disrupt user experience by masking unread messages or creating false impression of message consumption, but the effect is reversible and non-permanent.

From the tool's definition Tool name 'conversations_mark' combined with description 'Set the read cursor in a channel' indicates modification of user state (read position) rather than data retrieval.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs conversations_mark safely

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

conversations_mark Rate-limited

conversations_mark 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": {
    "conversations_mark": {
      "limits": [
        {
          "counter": "conversations_mark_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 Slack, apply this rule, and every conversations_mark call is checked against it from then on.

FAQ

Questions about conversations_mark

What does the conversations_mark tool do? +

Set the read cursor in a channel. It is categorised as a Write tool in the Slack MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on conversations_mark? +

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

What risk level is conversations_mark? +

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

Can I rate-limit conversations_mark? +

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

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

conversations_mark is provided by the Slack MCP server (karbassi/slack-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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