Brief description of what this tool does. This tool performs [specific action] and returns [expected output]. Args: param1: Description of first parameter param2: Description of second parameter (default: 10) param3: Description of third parameter (default: True) Returns: dict containing: - resul...
AI agents call tool_name 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.
Without the actual tool name and specific description filled in, this is classified conservatively as Read rather than Financial. The server deals with stock analysis and portfolio optimization, which could have financial implications, but the described output (dict with result, status, details) suggests analytical output rather than actual money movement, trading execution, or position modification.
From the tool's definition The tool description template provided does not specify the actual tool name or its specific functionality.
Documented attack patterns abuse exactly the kind of access tool_name 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 tool_name:
{
"version": "1",
"default": "deny",
"tools": {
"tool_name": {}
}
}tool_name is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Brief description of what this tool does. This tool performs [specific action] and returns [expected output]. Args: param1: Description of first parameter param2: Description of second parameter (default: 10) param3: Description of third parameter (default: True) Returns: dict containing: - result: The main result of the operation - status: Success/failure status - details: Additional details about the operation Raises: ValueError: If parameters are invalid Exception: For other errors. It is categorised as a Read tool in the MaverickMCP MCP Server, which means it retrieves data without modifying state.
Register the Maverick MCP server in PolicyLayer and add a rule for tool_name: 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.
tool_name is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the tool_name 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.
Set action: deny in the PolicyLayer policy for tool_name. 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.
tool_name 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.
Deterministic rules across all 54 MaverickMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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54 MaverickMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.