flight_plan
ROKHA'S FLIGHT PLAN — ONE MILESTONE MAP, AS DATA. milestones leads: the Intel® Partner Alliance, IBM Partner Plus and the Microsoft AI Cloud Partner Program CROSSED (three official partnerships), then NEXT IN FOCUS: 1. NVIDIA (in flight — a pursuit, not a partner). Then every other platform progr...
This record as markdown: /tools/ai-rokha-rokha/flight-plan.md
What flight_plan does on Rokha
AI agents use flight_plan to create or update resources in Rokha, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Rokha environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | — | Words to match across titles, blurbs and fits, e.g. 'hackathon' or 'IBM'. |
track | string | — | One track by key or name (prefix ok): programs, partner-programs, events, grants, partners, directories, token. |
Parameters from the server's own tool schema.
Why flight_plan is rated Medium
An AI agent can call flight_plan faster than any human can review: one bad instruction and it creates or modifies resources in Rokha by the hundred, each call as confident as the last.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs flight_plan safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Rokha, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For flight_plan, this is the rule to start with:
flight_plan 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 Rokha, apply this rule, and every flight_plan call is checked against it from then on.
Questions about flight_plan
ROKHA'S FLIGHT PLAN — ONE MILESTONE MAP, AS DATA. milestones leads: the Intel® Partner Alliance, IBM Partner Plus and the Microsoft AI Cloud Partner Program CROSSED (three official partnerships), then NEXT IN FOCUS: 1. NVIDIA (in flight — a pursuit, not a partner). Then every other platform program, program, hackathon, grant, integration and directory Rokha is pursuing, and the launch notes (roadmap: live today · opening next · on the horizon) — each pursuit with its status (ON RADAR = pursuing, IN FLIGHT = applied or in progress, LANDED = done), a one-line blurb, WHY IT FITS the platform, and its official link where one exists. Optional track (programs · partner-programs · events · grants · partners · directories; a prefix works) and query (words to match, e.g. 'hackathon', 'IBM', 'Solana grant'). A radar item is a pursuit, never a partnership — only LANDED items are real. Same data as GET https://rokha.ai/api/roadmap and rokha.ai/news/roadmap. Public, no auth. It is categorised as a Write tool in the Rokha MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
flight_plan accepts 2 parameters: query, track. The full parameter table on this page comes from the server's own tool schema.
Register the Rokha MCP server in PolicyLayer and add a rule for flight_plan: 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 Rokha. Nothing to install.
flight_plan 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 flight_plan 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 flight_plan. 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.
flight_plan is provided by the Rokha MCP server (https://rokha.ai/mcp/jsonrpc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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