Medium Risk

update_task_notes

Update notes for a task. Args: task_id: ID of the task content: New notes content (markdown) Returns: Confirmation message

How to control update_task_notes ↓

What update_task_notes does on Taskdog

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

Medium Risk

Why update_task_notes needs a policy

This tool modifies task metadata (notes content) reversibly. Users can update notes multiple times, and previous versions could theoretically be recovered through audit logs (get_audit_log is available on the server). It does not delete data (Destructive), execute code (Execute), move money (Financial), or read-only access (Read). Write category is appropriate because it creates or modifies data reversibly.

From the tool's definition Tool updates task notes via 'Update notes for a task' with arguments for task_id and new content. The description indicates modification of existing data (notes) rather than deletion or irreversible operations.

Documented attack patterns abuse exactly the kind of access update_task_notes gives an agent:

How to control update_task_notes

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_task_notes": {
      "limits": [
        {
          "counter": "update_task_notes_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

update_task_notes 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 Taskdog — 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.
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Related tools and policies

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Questions about update_task_notes

What does the update_task_notes tool do? +

Update notes for a task. Args: task_id: ID of the task content: New notes content (markdown) Returns: Confirmation message. It is categorised as a Write tool in the Taskdog MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_task_notes? +

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

What risk level is update_task_notes? +

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

Can I rate-limit update_task_notes? +

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

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

update_task_notes is provided by the Taskdog MCP server (kohei-wada/taskdog). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Taskdog tool call.

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

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