Low Risk

get_all_screening_recommendations

Run all screening strategies and return combined results. Returns bullish, bearish, and breakout candidates in a single response.

How to control get_all_screening_recommendations ↓

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

Low Risk

Although the server context is financial (MaverickMCP for stock analysis), this specific tool is purely informational—it retrieves and analyzes pre-existing market data and screening results without executing trades, moving money, modifying portfolios, or creating financial obligations. It is analogous to a financial data query or report generator, making it a Read operation.

From the tool's definition Tool performs screening and analysis that 'returns bullish, bearish, and breakout candidates' with no modification of user data, portfolio, or financial accounts. The description indicates data retrieval and analysis only.

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

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

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

get_all_screening_recommendations 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 MaverickMCP — 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.
CAP THIS TOOL →

Free to start. No card required.

Go deeper

What does the get_all_screening_recommendations tool do? +

Run all screening strategies and return combined results. Returns bullish, bearish, and breakout candidates in a single response. It is categorised as a Read tool in the MaverickMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_all_screening_recommendations? +

Register the Maverick MCP server in PolicyLayer and add a rule for get_all_screening_recommendations: 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 MaverickMCP. Nothing to install.

What risk level is get_all_screening_recommendations? +

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

Can I rate-limit get_all_screening_recommendations? +

Yes. Add a rate_limit block to the get_all_screening_recommendations 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_all_screening_recommendations completely? +

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

get_all_screening_recommendations is provided by the Maverick MCP server (wshobson/maverick-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MaverickMCP tool call.

Deterministic rules across all 54 MaverickMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

54 MaverickMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.