save_followup_result
Internal: persists followup_scheduler result to the scheduled_followups store.
This record as markdown: /tools/nitrostack/save-followup-result.md
What save_followup_result does on Nitrostack
AI agents use save_followup_result to create or update resources in Nitrostack, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Nitrostack environment.
Why save_followup_result is rated Medium
Modifies stored data about scheduled followups; reversible write operation with moderate blast radius if misused.
From the tool's definition persists followup_scheduler result to scheduled_followups store
Attacks that exploit this kind of access
The rule that runs save_followup_result safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nitrostack, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For save_followup_result, this is the rule to start with:
save_followup_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 Nitrostack, apply this rule, and every save_followup_result call is checked against it from then on.
Questions about save_followup_result
Internal: persists followup_scheduler result to the scheduled_followups store. It is categorised as a Write tool in the Nitrostack MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Nitrostack MCP server in PolicyLayer and add a rule for save_followup_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 Nitrostack. Nothing to install.
save_followup_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 save_followup_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 save_followup_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.
save_followup_result is provided by the Nitrostack MCP server (nitrocloudofficial/nitrostack). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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