This record as markdown: /tools/flowdot-llc-mcp-server/resume-goal.md
What resume_goal does on FlowDot MCP Server
AI agents use resume_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.
Why resume_goal is rated Medium
Resuming a paused goal modifies the state of an existing goal from paused to active. This is a reversible state change (it can be paused again), making it a Write operation. Misuse could cause unintended goal execution or workflow resumption, but it is not destructive or financial.
From the tool's definition Resume a paused goal
Attacks that exploit this kind of access
The rule that runs resume_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 resume_goal, this is the rule to start with:
resume_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.
The button opens the PolicyLayer dashboard: create your workspace, connect FlowDot MCP Server, apply this rule, and every resume_goal call is checked against it from then on.
Questions about resume_goal
Resume a paused goal. 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 resume_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.
resume_goal 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 resume_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.
Set action: deny in the PolicyLayer policy for resume_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.
resume_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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