complete_goal

Mark a goal as completed.

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/complete-goal.md

WHAT IT DOES

What complete_goal does on FlowDot MCP Server

AI agents use complete_goal 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 complete_goal is rated Medium

This tool modifies data by changing a goal's status from active to completed. This is a reversible operation (goals can be reopened or status reverted), making it Write rather than Destructive. The blast radius is medium because incorrect completion of goals could disrupt workflow tracking and project management, but the change is not irreversible and does not involve code execution, deletion, or financial impact.

From the tool's definition Tool name 'complete_goal' and description 'Mark a goal as completed' indicate a state change operation that modifies goal status in the FlowDot platform.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

complete_goal Rate-limited

complete_goal 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": {
    "complete_goal": {
      "limits": [
        {
          "counter": "complete_goal_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 complete_goal call is checked against it from then on.

FAQ

Questions about complete_goal

What does the complete_goal tool do? +

Mark a goal as completed. 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 complete_goal? +

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

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

Can I rate-limit complete_goal? +

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

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

complete_goal 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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