Medium Risk

reply_to_comment

Convenience wrapper around add_comment for the common reply case. Pass the parent comment id and the body; the handler reconstructs the target from the parent (no need for the agent to remember whether the parent was a row, cell, doc_range, html_element, surface, or workspace comment). Re-opens a...

Risk signalsAccepts raw HTML/template content (body) · Admin/system-level operation

Part of the Dock server.

reply_to_comment can modify Dock data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use reply_to_comment to create or modify resources in Dock. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call reply_to_comment repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Dock.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

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

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These attack patterns abuse exactly the kind of access reply_to_comment gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so reply_to_comment only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the reply_to_comment tool do? +

Convenience wrapper around add_comment for the common reply case. Pass the parent comment id and the body; the handler reconstructs the target from the parent (no need for the agent to remember whether the parent was a row, cell, doc_range, html_element, surface, or workspace comment). Re-opens a resolved parent. Same threading rules as add_comment: nested replies flatten to single depth, so reply-to-reply re-points at the root.. It is categorised as a Write tool in the Dock MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on reply_to_comment? +

Register the Dock MCP server in PolicyLayer and add a rule for reply_to_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 Dock. Nothing to install.

What risk level is reply_to_comment? +

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

Can I rate-limit reply_to_comment? +

Yes. Add a rate_limit block to the reply_to_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 reply_to_comment completely? +

Set action: deny in the PolicyLayer policy for reply_to_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 reply_to_comment? +

reply_to_comment is provided by the Dock MCP server (https://trydock.ai/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Dock tool call.

Deterministic rules across all 64 Dock tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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