vote_shared_result
Vote on a shared execution result (upvote, downvote, or remove your vote).
This record as markdown: /tools/flowdot-llc-mcp-server/vote-shared-result.md
What vote_shared_result does on FlowDot MCP Server
AI agents use vote_shared_result 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.
Why vote_shared_result is rated Medium
This tool creates or modifies voting records, which is a reversible Write operation. Voting is a metadata/preference modification that can be undone (by removing the vote or changing it). It does not execute code, destroy data, move money, or have side effects beyond updating vote counts and user preferences.
From the tool's definition Tool description states 'Vote on a shared execution result (upvote, downvote, or remove your vote)' — voting modifies user preference data (creates, updates, or deletes vote records) in a reversible manner.
Attacks that exploit this kind of access
The rule that runs vote_shared_result 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_shared_result, this is the rule to start with:
vote_shared_result 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.
The button opens the PolicyLayer dashboard: create your workspace, connect FlowDot MCP Server, apply this rule, and every vote_shared_result call is checked against it from then on.
Questions about vote_shared_result
Vote on a shared execution result (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.
Register the FlowDot MCP Server MCP server in PolicyLayer and add a rule for vote_shared_result: 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.
vote_shared_result is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the vote_shared_result 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.
Set action: deny in the PolicyLayer policy for vote_shared_result. 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.
vote_shared_result 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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