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Run parallel searches across multiple queries, merge and dedupe results, then extract key information with citations for comprehensive research briefs.

Instructions

Run multi-query research: search several queries in parallel, merge and dedupe results, then fetch and extract the strongest sources with citations. Best for: open-ended investigations, building a multi-source briefing, answering a complex question that needs cross-checking across providers. Returns: merged ranking, per-source extracted excerpts and citations, plus a query map showing which queries surfaced each source. Full payloads in hidden _meta. Rendered fetch is automatic for JS-heavy pages; pass rendered=true to force browser mode. Use search_many when extraction is not needed; search_and_fetch for a single query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queriesYesList of 1–10 search queries to run in parallel. Use distinct phrasings or angles (synonyms, related entities, opposing framings) for the best merged coverage.
categoriesNoComma-separated SearXNG categories to search (e.g. 'general', 'news', 'images', 'videos', 'science', 'files'). Default is the server's configured category set, typically 'general'.
enginesNoComma-separated SearXNG engine names to use for this query. Forwarded to SearXNG's 'engines' parameter. Leave unset to use the backend's default engine selection.
enabled_enginesNoComma-separated engine names to enable in addition to the backend defaults. Forwarded as SearXNG's 'enabled_engines' parameter.
disabled_enginesNoComma-separated engine names to exclude from this query. Forwarded as SearXNG's 'disabled_engines' parameter.
languageNoBCP-47 language hint for SearXNG (e.g. 'en', 'en-US', 'de', 'all'). Default is the server's configured language.
pagenoNoResult page number (1–20, default 1). Use to paginate beyond the first page.
time_rangeNoRestrict results to recent content. Valid values: 'day', 'week', 'month', 'year'. Omit for no time filter.
safesearchNoSafe search level: 0=off, 1=moderate, 2=strict. Omit to use the server default.
max_resultsNoMaximum visible results to include in the compact summary (1–50). Default comes from server settings (typically 5). The hidden `_meta.raw_payload.results` always contains the full SearXNG response regardless of this cap.
fetch_limitNoMaximum number of search results to fetch and extract (1–20, default 3). Lower is faster; higher gives more sources at the cost of latency.
fetch_excerpt_charsNoPer-source excerpt character cap (200–20000). Default comes from server settings. Smaller values keep the visible output tight; the full text is always available in hidden `_meta` for each source.
renderedNoForce browser-based rendering for fetches. Default false: the server auto-renders only when a page is JS-heavy or returns near-empty text. Set true when a previous fetch came back nearly empty or to read a known SPA. Forced rendering is several times slower than HTTP fetch.
render_wait_msNoExtra milliseconds to wait after DOM content load before extracting (0–15000). Use a higher value (e.g. 1500–4000) for SPAs that hydrate slowly.
concurrencyNoMaximum concurrent backend requests for this fan-out (1–16). Higher is faster but puts more load on the SearXNG instance and remote pages. Omit for the server default.
ttlNoCache TTL override in seconds (0–86400). 0 disables caching for this call. Omit to use the server's default TTL.
Behavior5/5

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

Discloses key behaviors beyond annotations: parallel queries, merge/dedupe, automatic vs forced rendered fetch, hidden _meta payloads, and parameter effects like concurrency and caching. No contradiction with annotations.

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

Conciseness5/5

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

Concise and well-structured: first sentence captures core functionality, followed by best-use cases, return format, render behavior, and alternatives. No redundant sentences.

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

Completeness5/5

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

Given 16 parameters and no output schema, the description covers operation, return values (merged ranking, excerpts, citations, query map, hidden _meta), and important nuances (caching, concurrency, render wait). It is contextually complete for effective tool selection.

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

Parameters4/5

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

Schema has 100% coverage, so baseline is 3. The description adds value by explaining the rendered fetch behavior and defaults (e.g., automatic rendering), but does not detail each parameter. Still, it enhances understanding of key parameters like rendered and max_results.

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?

The description clearly states the tool's purpose: run multi-query research with parallel searches, merging, deduplication, and extraction with citations. It distinguishes from siblings by contrasting with search_many and search_and_fetch.

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

Usage Guidelines5/5

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

Explicitly provides when to use (open-ended investigations, multi-source briefings) and when not (use search_many if no extraction needed, search_and_fetch for single query), offering clear guidance.

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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