create_shared_result

Create a shareable link for a workflow execution result. This allows you to share specific execution outputs with others.

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/create-shared-result.md

WHAT IT DOES

What create_shared_result does on FlowDot MCP Server

AI agents use create_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.

RISK

Why create_shared_result is rated Medium

The tool creates a new shareable link, which is a reversible write operation. It doesn't execute code or trigger external operations based on arbitrary arguments (Execute), doesn't permanently delete data (Destructive), doesn't move money (Financial), and doesn't merely read existing data (Read).

From the tool's definition Tool description states 'Create a shareable link for a workflow execution result' — this is creating a new resource (a shareable link) that modifies the state of the system by enabling sharing capabilities.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

create_shared_result Rate-limited

create_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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_shared_result": {
      "limits": [
        {
          "counter": "create_shared_result_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 create_shared_result call is checked against it from then on.

FAQ

Questions about create_shared_result

What does the create_shared_result tool do? +

Create a shareable link for a workflow execution result. This allows you to share specific execution outputs with others. 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 create_shared_result? +

Register the FlowDot MCP Server MCP server in PolicyLayer and add a rule for create_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.

What risk level is create_shared_result? +

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

Can I rate-limit create_shared_result? +

Yes. Add a rate_limit block to the create_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.

How do I block create_shared_result completely? +

Set action: deny in the PolicyLayer policy for create_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.

What MCP server provides create_shared_result? +

create_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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