Submit up to 50 ingestion items in a single request. Each item follows the same shape as knowledge_ingest (url OR content, source_type required). Returns a per-item result array — individual failures do not abort the batch. Requires orchestrator role.
Accepts URL/endpoint input (items[].url); Accepts raw HTML/template content (items[].content); Single-target operation
Part of the Loopctl MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call knowledge_ingest_batch to retrieve information from Loopctl without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though knowledge_ingest_batch only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
knowledge_ingest_batch:
rules:
- action: allowSee the full Loopctl policy for all 49 tools.
Agents calling read-class tools like knowledge_ingest_batch have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
Submit up to 50 ingestion items in a single request. Each item follows the same shape as knowledge_ingest (url OR content, source_type required). Returns a per-item result array — individual failures do not abort the batch. Requires orchestrator role.. It is categorised as a Read tool in the Loopctl MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for knowledge_ingest_batch. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Loopctl MCP server.
knowledge_ingest_batch 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_ingest_batch rule in your Intercept 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 Intercept policy for knowledge_ingest_batch. 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_ingest_batch is provided by the Loopctl MCP server (loopctl-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept