ftg_country_study
Return the in-depth FTG country study — multi-part structured analysis of a country's trade and production landscape. When to use this tool: an agent needs deep country context before a sourcing, export or investment decision. Input: a country.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/ftg-country-study.md
What ftg_country_study does on Mcp Knowledge
AI agents call ftg_country_study 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 |
country | string | Yes | Country ISO code or name |
Parameters from the server's own tool schema.
Why ftg_country_study is rated Low
The tool retrieves and returns pre-existing analytical content about a country's trade and production landscape. It performs a read/query operation with no side effects, data modification, code execution, or financial transactions.
From the tool's definition Return the in-depth FTG country study — multi-part structured analysis of a country's trade and production landscape
Attacks that exploit this kind of access
The rule that runs ftg_country_study 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_country_study, this is the rule to start with:
ftg_country_study 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_country_study call is checked against it from then on.
Questions about ftg_country_study
Return the in-depth FTG country study — multi-part structured analysis of a country's trade and production landscape. When to use this tool: an agent needs deep country context before a sourcing, export or investment decision. Input: a country. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
ftg_country_study accepts 2 parameters: async, country. Required: country. 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_country_study: 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_country_study 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_country_study 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_country_study. 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_country_study 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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