web_search

web_search

Server Python MCP Toolkit Server linhanhan227/termux-mcp
Category Read
Risk class Low
Parameters 00 required

What web_search does on Python MCP Toolkit Server

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

Why web_search needs a policy

Web search is a read-only operation that retrieves and returns information from the web without modifying, deleting, or executing any code. It has no side effects on the user's system or external services beyond standard HTTP queries. The main risk is information retrieval quality or potential for irrelevant results, which poses minimal security risk.

From the tool's definition Tool name 'web_search' combined with server description indicating 'web search with fallback' capability. No description provided for the tool itself, but the name and context clearly indicate a data retrieval operation.

Questions about web_search

What does the web_search tool do? +

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

How do I enforce a policy on web_search? +

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

What risk level is web_search? +

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

Can I rate-limit web_search? +

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

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

web_search is provided by the Python MCP Toolkit Server MCP server (linhanhan227/termux-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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