Medium Risk

add-comment

Add a comment to an existing task

How to control add-comment ↓

What add-comment does on KanbanFlow MCP Server

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

Medium Risk

Why add-comment needs a policy

This tool creates new data (a comment) on an existing task in a reversible manner. Comments can be edited or deleted, making this a Write operation rather than Destructive. The blast radius is minimal—adding a comment affects only the specific task and is easily undone. This does not retrieve data (Read), execute arbitrary code (Execute), permanently delete data (Destructive), or move money (Financial).

From the tool's definition Tool name 'add-comment' and description 'Add a comment to an existing task' indicate creation of new comment data on a task resource.

Documented attack patterns abuse exactly the kind of access add-comment gives an agent:

How to control add-comment

PolicyLayer is an MCP gateway — it sits between your AI agents and KanbanFlow MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for add-comment:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "add-comment": {
      "limits": [
        {
          "counter": "add-comment_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

add-comment 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.

  1. Create a free account and register KanbanFlow MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about add-comment

What does the add-comment tool do? +

Add a comment to an existing task. It is categorised as a Write tool in the KanbanFlow 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 add-comment? +

Register the KanbanFlow MCP Server MCP server in PolicyLayer and add a rule for add-comment: 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 KanbanFlow MCP Server. Nothing to install.

What risk level is add-comment? +

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

Can I rate-limit add-comment? +

Yes. Add a rate_limit block to the add-comment 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 add-comment completely? +

Set action: deny in the PolicyLayer policy for add-comment. 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 add-comment? +

add-comment is provided by the KanbanFlow MCP Server MCP server (williamavholmberg/kanbanflow-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every KanbanFlow MCP Server tool call.

Start from KanbanFlow MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

16 KanbanFlow MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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