ftg_opportunity_scout
Rank the best countries for a given commodity — where the market gap, opportunity score and potential margin are highest. Cross-country scouting. When to use this tool: an agent has a commodity and needs to know WHERE to sell, export to or set up local production. Input: a commodity name.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/ftg-opportunity-scout.md
What ftg_opportunity_scout does on Mcp Knowledge
AI agents call ftg_opportunity_scout 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 |
limit | integer | — | Maximum countries to return (default 20) |
commodity | string | Yes | Commodity name (e.g. 'rice', 'soybean', 'poultry') |
Parameters from the server's own tool schema.
Why ftg_opportunity_scout is rated Low
This tool retrieves and ranks analytical data (market gap, opportunity score, potential margin) for countries given a commodity. It is a read/query operation with no side effects — it does not move money, modify data, or execute commands. The output is informational intelligence to support decision-making.
From the tool's definition Rank the best countries for a given commodity — where the market gap, opportunity score and potential margin are highest. Cross-country scouting.
Attacks that exploit this kind of access
The rule that runs ftg_opportunity_scout 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_opportunity_scout, this is the rule to start with:
ftg_opportunity_scout 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_opportunity_scout call is checked against it from then on.
Questions about ftg_opportunity_scout
Rank the best countries for a given commodity — where the market gap, opportunity score and potential margin are highest. Cross-country scouting. When to use this tool: an agent has a commodity and needs to know WHERE to sell, export to or set up local production. Input: a commodity name. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
ftg_opportunity_scout accepts 3 parameters: async, limit, commodity. Required: commodity. 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_opportunity_scout: 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_opportunity_scout 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_opportunity_scout 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_opportunity_scout. 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_opportunity_scout 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.
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