ftg_business_plan
Return the business plan for a market-gap opportunity — direct-trade or local-production, with CAPEX, OPEX, ROI, payback period, automation level and the full plan. Cache-first: returns the stored plan when available, otherwise reports that generation is required (the FTG platform produces plans ...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/ftg-business-plan.md
What ftg_business_plan does on Mcp Knowledge
AI agents call ftg_business_plan to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
opportunity_id | string | Yes | Opportunity id obtained from ftg_market_gap |
Parameters from the server's own tool schema.
Why ftg_business_plan is rated Low
The tool retrieves an already-generated or cached business plan document given an opportunity_id. It does not create, modify, execute, or delete anything — it is a read/fetch operation that returns structured data (CAPEX, OPEX, ROI, payback period, etc.). The mention of 'generation is required' refers to an external platform process, not an action this tool itself triggers.
From the tool's definition Return the business plan for a market-gap opportunity... Cache-first: returns the stored plan when available, otherwise reports that generation is required
Attacks that exploit this kind of access
The rule that runs ftg_business_plan safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ftg_business_plan, this is the rule to start with:
ftg_business_plan is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every ftg_business_plan call is checked against it from then on.
Questions about ftg_business_plan
Return the business plan for a market-gap opportunity — direct-trade or local-production, with CAPEX, OPEX, ROI, payback period, automation level and the full plan. Cache-first: returns the stored plan when available, otherwise reports that generation is required (the FTG platform produces plans on demand). When to use this tool: an agent has an opportunity_id (from ftg_market_gap) and needs the investable plan. Input: an opportunity_id. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
ftg_business_plan accepts 2 parameters: async, opportunity_id. Required: opportunity_id. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for ftg_business_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 Mcp Knowledge. Nothing to install.
ftg_business_plan is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the ftg_business_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 ftg_business_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.
ftg_business_plan is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Mcp Knowledge, and thousands of servers like it.
This server
Across the catalogue