add_goal_task

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-goal-task.md

WHAT IT DOES

What add_goal_task does on FlowDot MCP Server

AI agents use add_goal_task 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_goal_task is rated Medium

This tool creates new data (tasks) within a goal structure, making it a Write operation. Severity is medium because while tasks are reversible (can be abandoned via sibling tool abandon_goal), malicious task injection could trigger unwanted workflows, code execution, or notifications depending on task type.

From the tool's definition Tool description states "Add a task to a goal" which creates new task records. The task types listed (research, draft, code, execute, recipe, loop, notify, toolkit) demonstrate the tool modifies goal state by appending executable tasks that will be processed…

Attacks that exploit this kind of access

RECOMMENDED RULE

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

add_goal_task Rate-limited

add_goal_task 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_goal_task": {
      "limits": [
        {
          "counter": "add_goal_task_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_goal_task call is checked against it from then on.

FAQ

Questions about add_goal_task

What does the add_goal_task tool do? +

Add a task to a goal. Task types: - research — gather information - draft — write content - code — write or modify code - execute — run a workflow - recipe — invoke a specific recipe (use title to name the recipe alias) - loop — repeat an action - notify — send a notification - toolkit — invoke an MCP toolkit tool Tasks are executed by the FlowDot daemon/CLI when the goal runs. 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_goal_task? +

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

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

Can I rate-limit add_goal_task? +

Yes. Add a rate_limit block to the add_goal_task 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_goal_task completely? +

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

add_goal_task 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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