add_shared_result_comment

Add a comment to a shared execution result.

SERVERFlowDot MCP Server SOURCEflowdot-llc/mcp-server

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/flowdot-llc-mcp-server/add-shared-result-comment.md

WHAT IT DOES

What add_shared_result_comment does on FlowDot MCP Server

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

RISK

Why add_shared_result_comment is rated Medium

This tool creates new comment data on an existing execution result. It is a Write operation because comments are additive, reversible modifications. The blast radius is low—posting a comment cannot corrupt system integrity, cause financial harm, or delete data. Low severity appropriate for minor metadata creation.

From the tool's definition Tool name 'add_*_comment' and description 'Add a comment to a shared execution result' indicate creation of a new comment record, which is a reversible write operation.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs add_shared_result_comment safely

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

add_shared_result_comment Rate-limited

add_shared_result_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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_shared_result_comment": {
      "limits": [
        {
          "counter": "add_shared_result_comment_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 FlowDot MCP Server, apply this rule, and every add_shared_result_comment call is checked against it from then on.

FAQ

Questions about add_shared_result_comment

What does the add_shared_result_comment tool do? +

Add a comment to a shared execution result. It is categorised as a Write tool in the FlowDot 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_shared_result_comment? +

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

What risk level is add_shared_result_comment? +

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

Can I rate-limit add_shared_result_comment? +

Yes. Add a rate_limit block to the add_shared_result_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_shared_result_comment completely? +

Set action: deny in the PolicyLayer policy for add_shared_result_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_shared_result_comment? +

add_shared_result_comment is provided by the FlowDot MCP Server MCP server (flowdot-llc/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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