deep_research_start · Musubix MCP: Risk & Policy

WHAT IT DOES

What deep_research_start does on Musubix

AI agents invoke deep_research_start to trigger actions in Musubix. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why deep_research_start needs a policy

While the tool primarily reads data via search, the iterative cycle and reasoning components constitute execution of a defined workflow/process that produces computational side effects. The tool initiates and orchestrates a complex operation rather than merely retrieving static data.

From the tool's definition Tool performs 'iterative deep research' with 'search-read-reason cycle', which involves executing a multi-step process that triggers external operations (searches, data retrieval, reasoning cycles) whose effects depend on the topic argument.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

deep_research_start Rate-limited

deep_research_start stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "deep_research_start": {
      "limits": [
        {
          "counter": "deep_research_start_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Musubix, so you can run agents against it safely.

FAQ

Questions about deep_research_start

What does the deep_research_start tool do? +

Start iterative deep research on a technical topic using search-read-reason cycle. It is categorised as a Execute tool in the Musubix MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on deep_research_start? +

Register the Musubix MCP server in PolicyLayer and add a rule for deep_research_start: 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 Musubix. Nothing to install.

What risk level is deep_research_start? +

deep_research_start is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit deep_research_start? +

Yes. Add a rate_limit block to the deep_research_start 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 deep_research_start completely? +

Set action: deny in the PolicyLayer policy for deep_research_start. 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 deep_research_start? +

deep_research_start is provided by the Musubix MCP server (@nahisaho/musubix-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.