get_results

Get the current research results

Server Python MCP Server Template raido-star/ridiculous
Category Read
Risk class Low
Parameters 00 required

What get_results does on Python MCP Server Template

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

Why get_results needs a policy

This tool retrieves or queries existing research results without modifying data, triggering external operations, deleting information, or committing financial obligations. The low severity reflects minimal risk if misused by an AI agent, as reading data poses limited harm compared to write, execute, or destructive operations.

From the tool's definition Tool name 'get_results' and description 'Get the current research results' indicate a retrieval operation with no side effects.

Questions about get_results

What does the get_results tool do? +

Get the current research results. It is categorised as a Read tool in the Python MCP Server Template MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_results? +

Register the Python MCP Server Template MCP server in PolicyLayer and add a rule for get_results: 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 Python MCP Server Template. Nothing to install.

What risk level is get_results? +

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

Can I rate-limit get_results? +

Yes. Add a rate_limit block to the get_results 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_results completely? +

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

get_results is provided by the Python MCP Server Template MCP server (raido-star/ridiculous). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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