vote_input_preset

Vote on an input preset (upvote, downvote, or remove your vote).

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/vote-input-preset.md

WHAT IT DOES

What vote_input_preset does on FlowDot MCP Server

AI agents use vote_input_preset 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 vote_input_preset is rated Medium

The tool writes/updates vote state on a preset, which is a reversible data modification. The action can be undone by voting differently or removing the vote. It has no side effects beyond updating a voting record, making it Write category rather than Read (which retrieves data) or Execute (which triggers external operations).

From the tool's definition Tool performs a modification action (upvote, downvote, or remove vote) on an input preset, explicitly indicating it creates or modifies data reversibly.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs vote_input_preset 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 vote_input_preset, this is the rule to start with:

vote_input_preset Rate-limited

vote_input_preset 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": {
    "vote_input_preset": {
      "limits": [
        {
          "counter": "vote_input_preset_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 vote_input_preset call is checked against it from then on.

FAQ

Questions about vote_input_preset

What does the vote_input_preset tool do? +

Vote on an input preset (upvote, downvote, or remove your vote). 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 vote_input_preset? +

Register the FlowDot MCP Server MCP server in PolicyLayer and add a rule for vote_input_preset: 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 vote_input_preset? +

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

Can I rate-limit vote_input_preset? +

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

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

vote_input_preset 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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