Low Risk

get_research_task_result

Poll for research task status and result. Call until status is

How to control get_research_task_result ↓

What get_research_task_result does on Yutori MCP

AI agents call get_research_task_result to retrieve information from Yutori MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get_research_task_result needs a policy

This is a polling/status-check operation that retrieves the results of a previously initiated research task. It performs no mutations, deletions, code execution, or financial transactions. The incomplete description ('Call until status is') does not suggest any side effects beyond data retrieval.

From the tool's definition Tool name 'get_research_task_result' and description 'Poll for research task status and result' indicate retrieval of data without modification or side effects.

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

How to control get_research_task_result

PolicyLayer is an MCP gateway — it sits between your AI agents and Yutori MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_research_task_result:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_research_task_result": {}
  }
}

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

  1. Create a free account and register Yutori MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about get_research_task_result

What does the get_research_task_result tool do? +

Poll for research task status and result. Call until status is. It is categorised as a Read tool in the Yutori MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_research_task_result? +

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

What risk level is get_research_task_result? +

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

Can I rate-limit get_research_task_result? +

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

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

get_research_task_result is provided by the Yutori MCP server (yutori-ai/yutori-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Yutori MCP tool call.

Start from Yutori MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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11 Yutori MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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