get_suggestions

get_suggestions

Server SearXNG MCP Server martinchen448/searxng-mcp-server
Category Read
Risk class Low
Parameters 00 required

What get_suggestions does on SearXNG MCP Server

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

Why get_suggestions needs a policy

This tool queries the search engine for autocomplete suggestions, which is a read-only operation that retrieves data without modifying or deleting anything. No execution of code or external commands occurs. Low severity because suggestions are typically non-sensitive metadata used to assist users in refining searches.

From the tool's definition Tool named 'get_suggestions' on a SearXNG metasearch server; based on context with sibling tools (search, get_config, health_check), this retrieves autocomplete suggestions.

Questions about get_suggestions

What does the get_suggestions tool do? +

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

How do I enforce a policy on get_suggestions? +

Register the SearXNG MCP Server MCP server in PolicyLayer and add a rule for get_suggestions: 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 SearXNG MCP Server. Nothing to install.

What risk level is get_suggestions? +

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

Can I rate-limit get_suggestions? +

Yes. Add a rate_limit block to the get_suggestions 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_suggestions completely? +

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

get_suggestions is provided by the SearXNG MCP Server MCP server (martinchen448/searxng-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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