Low Risk

deeplook_research_with_judgment

deeplook_research_with_judgment

How to control deeplook_research_with_judgment ↓

What deeplook_research_with_judgment does on Deeplook

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

Low Risk

Why deeplook_research_with_judgment needs a policy

This tool retrieves and aggregates public/commercial data about companies to generate analytical reports with investment verdicts (bull/bear). While it returns structured analysis and judgment, the core function is reading and synthesizing existing data sources rather than modifying systems or executing arbitrary operations.

From the tool's definition Server description indicates the tool performs research and returns structured reports analyzing companies across 10 data sources. The name includes 'research' and 'judgment' (analysis/verdict), consistent with data retrieval and analysis operations.

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

How to control deeplook_research_with_judgment

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

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

deeplook_research_with_judgment 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 Deeplook — 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 deeplook_research_with_judgment

What does the deeplook_research_with_judgment tool do? +

deeplook_research_with_judgment. It is categorised as a Read tool in the Deeplook MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on deeplook_research_with_judgment? +

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

What risk level is deeplook_research_with_judgment? +

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

Can I rate-limit deeplook_research_with_judgment? +

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

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

deeplook_research_with_judgment is provided by the Deeplook MCP server (osojdjd/deeplook). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Deeplook tool call.

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

Free to start. No card required.

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

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