Fetch one GLAD dataset descriptor by refId and dataProvider through the official GLAD /search/index/{refId}/{dataProvider} API. Requires GLAD_API_KEY in the MCP server environment.
AI agents call Get_GLAD_Dataset_Tool to retrieve information from TianGong-LCA-MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a simple data retrieval operation querying the GLAD /search/index/{refId}/{dataProvider} API endpoint. It has no side effects—it does not modify, delete, create, or execute anything. The authentication requirement (GLAD_API_KEY) does not elevate the risk category since the operation itself is read-only.
From the tool's definition The tool 'Fetch one GLAD dataset descriptor by refId and dataProvider' uses the verb 'Fetch', which is a read-only operation.
Documented attack patterns abuse exactly the kind of access Get_GLAD_Dataset_Tool gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and TianGong-LCA-MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for Get_GLAD_Dataset_Tool:
{
"version": "1",
"default": "deny",
"tools": {
"Get_GLAD_Dataset_Tool": {}
}
} Get_GLAD_Dataset_Tool is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Fetch one GLAD dataset descriptor by refId and dataProvider through the official GLAD /search/index/{refId}/{dataProvider} API. Requires GLAD_API_KEY in the MCP server environment. It is categorised as a Read tool in the TianGong-LCA-MCP Server MCP Server, which means it retrieves data without modifying state.
Register the TianGong-LCA-MCP Server MCP server in PolicyLayer and add a rule for Get_GLAD_Dataset_Tool: 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 TianGong-LCA-MCP Server. Nothing to install.
Get_GLAD_Dataset_Tool 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 Get_GLAD_Dataset_Tool 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 Get_GLAD_Dataset_Tool. 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.
Get_GLAD_Dataset_Tool is provided by the TianGong-LCA-MCP Server MCP server (linancn/tiangong-lca-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from TianGong-LCA-MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
11 TianGong-LCA-MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.