research_checklist

THE RISK

Low Risk

Why research_checklist needs a policy

This tool retrieves and displays documentation requirements for a given complexity level. It performs a query or lookup operation without modifying, executing, or deleting any data. The action is read-only and informational in nature, consistent with the Read category. Low severity because misuse would only expose or retrieve checklist information without causing harm.

From the tool's definition Tool description states it 'Get[s] the research checklist' and 'Shows what needs to be documented'—purely informational retrieval with no side effects.

Documented attack patterns abuse exactly the kind of access research_checklist gives an agent:

POLICY

How to control research_checklist

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_checklist:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "research_checklist": {}
  }
}

research_checklist is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Agent Orchestration — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about research_checklist

What does the research_checklist tool do? +

Get the research checklist for a specific complexity level. Shows what needs to be documented before implementation. It is categorised as a Read tool in the Agent Orchestration MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on research_checklist? +

Register the Agent Orchestration MCP server in PolicyLayer and add a rule for research_checklist: 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.

What risk level is research_checklist? +

research_checklist is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit research_checklist? +

Yes. Add a rate_limit block to the research_checklist 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.

How do I block research_checklist completely? +

Set action: deny in the PolicyLayer policy for research_checklist. 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.

What MCP server provides research_checklist? +

research_checklist 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.

Enforce policy on every Agent Orchestration tool call.

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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