knowledge_base_train_discovered_urls
Train discovered website pages and ingest into the knowledge base
This record as markdown: /tools/aiwerk-mcp-server-ghl/knowledge-base-train-discovered-urls.md
What knowledge_base_train_discovered_urls does on Ghl
AI agents call knowledge_base_train_discovered_urls to retrieve information from Ghl 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 |
|---|---|---|---|
urlIds | array | Yes | List of Object ids of the discovered urls |
locationId | string | — | Location ID as string Defaults to GHL_LOCATION_ID when omitted. |
operationId | string | Yes | operation id as string |
knowledgeBaseId | string | Yes | knowledge base id |
Parameters from the server's own tool schema.
Why knowledge_base_train_discovered_urls is rated Low
Even though knowledge_base_train_discovered_urls only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs knowledge_base_train_discovered_urls safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ghl, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For knowledge_base_train_discovered_urls, this is the rule to start with:
knowledge_base_train_discovered_urls 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 Ghl, apply this rule, and every knowledge_base_train_discovered_urls call is checked against it from then on.
Questions about knowledge_base_train_discovered_urls
Train discovered website pages and ingest into the knowledge base. It is categorised as a Read tool in the Ghl MCP Server, which means it retrieves data without modifying state.
knowledge_base_train_discovered_urls accepts 4 parameters: urlIds, locationId, operationId, knowledgeBaseId. Required: urlIds, operationId, knowledgeBaseId. The full parameter table on this page comes from the server's own tool schema.
Register the Ghl MCP server in PolicyLayer and add a rule for knowledge_base_train_discovered_urls: 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 Ghl. Nothing to install.
knowledge_base_train_discovered_urls 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 knowledge_base_train_discovered_urls 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 knowledge_base_train_discovered_urls. 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.
knowledge_base_train_discovered_urls is provided by the Ghl MCP server (@aiwerk/mcp-server-ghl). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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