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dduartee

mcp-searxng-local

by dduartee

web_search

Read-onlyIdempotent

Search the web via multiple engines like Google, DuckDuckGo, Brave, and Wikipedia. Filter by category, time range, and domains to get relevant results, direct answers, and infoboxes.

Instructions

Web search via SearXNG (metasearch). Aggregates Google, DuckDuckGo, Brave, Wikipedia and more. Returns titles, URLs and snippets, plus direct answers and infoboxes when available. Supports category (news, images), time range (day, month, year), domain (include/exclude) filters, specific engines and safe search. Use for questions requiring up-to-date information from the internet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of results (1-50, default 10)
queryYesSearch term. Ex: "latest artificial intelligence news 2026"
pagenoNoResults page (default 1)
enginesNoSelect engines: google, duckduckgo, brave, wikipedia, arxiv (comma-separated)
languageNoLanguage code: pt-BR, en-US, etc.
categoriesNoCategoria: general, news, images, files, video, music
safesearchNoSafe search: 0=off, 1=moderate, 2=strict
time_rangeNoTime filter: day, month, or year
excludeDomainsNoExclude results from these domains (ex: ["pinterest.com"])
includeDomainsNoOnly results from these domains (ex: ["github.com", "wikipedia.org"])
endPublishedDateNoISO date: "2024-12-31" — filter results published before this date (client-side)
startPublishedDateNoISO date: "2024-01-01" — filter results published after this date (client-side)
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. Description adds value by explaining metasearch aggregation, result content (snippets, infoboxes), and filter capabilities. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Four sentences with key info front-loaded. Reasonably concise, though could be slightly tighter. No fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a search tool with 12 parameters, no output schema, and no nested objects, the description covers purpose, result content, and major filters. Lacks pagination details but sufficient for selection.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All 12 parameters have descriptions in the input schema (100% coverage). The description summarizes filter types but adds no new parameter semantics beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it's a web search via SearXNG metasearch, aggregating multiple engines. Lists specific result types (titles, URLs, snippets, direct answers, infoboxes). Distinguishes from siblings by detailing available filters, though could explicitly contrast with web_search_advanced.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

States 'Use for questions requiring up-to-date information from the internet.' No explicit when-not-to-use or alternative tool suggestions (e.g., web_fetch for single page retrieval). Usage is implied but not fully guided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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