List recent content ingestion jobs for the current tenant. Returns jobs from the last 7 days, max 50 results. Requires orchestrator role.
Part of the Loopctl server.
Free to start. No card required.
AI agents call knowledge_ingestion_jobs 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_ingestion_jobs 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.
{
"version": "1",
"default": "deny",
"tools": {
"knowledge_ingestion_jobs": {}
}
}See the full Loopctl policy for all 52 tools.
These attack patterns abuse exactly the kind of access knowledge_ingestion_jobs gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
List recent content ingestion jobs for the current tenant. Returns jobs from the last 7 days, max 50 results. Requires orchestrator role.. It is categorised as a Read tool in the Loopctl MCP Server, which means it retrieves data without modifying state.
Register the Loopctl MCP server in PolicyLayer and add a rule for knowledge_ingestion_jobs: 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 Loopctl. Nothing to install.
knowledge_ingestion_jobs 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_ingestion_jobs 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_ingestion_jobs. 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_ingestion_jobs is provided by the Loopctl MCP server (loopctl-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 52 Loopctl tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.