Check research progress for a task. Shows what research is required, completed, and missing based on task complexity.
AI agents call research_status to retrieve information from Agent Orchestration without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only status check operation. It retrieves and displays information about research progress, showing what is required, completed, and missing. There are no indications of data modification, code execution, deletions, or financial operations. The action is purely informational with no side effects, fitting the 'Read' category for queries that retrieve data.
From the tool's definition Tool name 'research_status' and description 'Check research progress' indicate a query/reporting function that retrieves information about task research status without modifying data or triggering external operations.
Documented attack patterns abuse exactly the kind of access research_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Agent Orchestration, and nothing reaches the server without passing your rules. This is the rule we recommend for research_status:
{
"version": "1",
"default": "deny",
"tools": {
"research_status": {}
}
} research_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Check research progress for a task. Shows what research is required, completed, and missing based on task complexity. It is categorised as a Read tool in the Agent Orchestration MCP Server, which means it retrieves data without modifying state.
Register the Agent Orchestration MCP server in PolicyLayer and add a rule for research_status: 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 Agent Orchestration. Nothing to install.
research_status 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 research_status 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 research_status. 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.
research_status is provided by the Agent Orchestration MCP server (madebyaris/agent-orchestration). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Agent Orchestration, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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35 Agent Orchestration tools catalogued and risk-classified — across an index of 43,000+ MCP servers.