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JavaScript
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Read-only

Run a live web lookup and get ranked results with snippets, news, or full content. Filter by language, domain, or time to answer one focused question.

Instructions

Search the live web and return ranked results (title, url, snippet) — fast, fresh, real-time web search for one focused lookup. Set topic to news for news-focused results. Pass highlight to get a ranked snippet per result, or full_content to pull the cleaned page body inline (heavier — costs more context). Narrow with domain / text include-exclude filters, a language filter (ISO 639-1 codes), and a time window (published/crawled start_time/end_time, or a relative time_range). Set include_images to return image URLs per result.

USE FOR a single focused lookup: one fact, one entity, one document. If the question spans several independent subtopics, load and use broad_search instead — a sequence of search calls is slower and gives worse coverage than one fan-out. To read a page you already have the URL for, use extract.

keywords: web search, search the web, look up, find, check, fact, current information, latest, news, source, url, real-time

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of results to return (1-100). Default 5.
queryYesNon-empty search query. Max 500 chars.
topicNoSearch category: `general` for broad web search, `news` for news-focused results. Default general.general
formatNoFormat of returned content. Default text.text
timeoutNoRequest timeout in seconds (1-60). Defaults to 30s if unset.
end_timeNoUpper bound for the time window, ISO 8601.
languageNoLanguages to filter results by, as ISO 639-1 codes. Empty = no filter.
highlightNoReturn a ranked highlighted snippet per result. Omit to use the server default.
safesearchNoAdult-content filter. Default strict.strict
start_timeNoLower bound for the time window, ISO 8601 (e.g. '2025-01-01T00:00:00Z').
time_basisNoWhich timestamp the time window filters against: page `published` date, last `crawled` date, or `auto`. Default auto.auto
time_rangeNoRelative time window (e.g. `week`, `month`). Mutually exclusive with `start_time`/`end_time` — if both are given, the absolute range wins.
exclude_textNoDrop results whose content contains any of these strings. Max 5, each ≤30 chars.
full_contentNoReturn the cleaned full page body per result. Heavier than `highlight` — use only when the snippet isn't enough. Omit to use the server default (off).
include_textNoOnly return results whose content contains all of these strings. Max 5, each ≤30 chars.
include_imagesNoReturn image URLs (and a cover image) found on each result page.
exclude_domainsNoDrop results from these domains. Max 1200, each ≤60 chars.
include_domainsNoOnly return results from these domains (e.g. 'arxiv.org'). Max 1200, each ≤60 chars.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.5.2
    • changedInput schema / properties / query / description
      Previous value: -"Search query. Max 500 chars."New value: +"Non-empty search query. Max 500 chars."
    • addedInput schema / properties / query / minLength
      Added value: +1
  2. Changed7 schema fields changedv0.5.0
    • changedInput schema / properties / exclude_domains / description
      Previous value: -"Drop results from these domains. Max 150, each ≤30 chars."New value: +"Drop results from these domains. Max 1200, each ≤60 chars."
    • changedInput schema / properties / exclude_domains / items / maxLength
      Previous value: -30New value: +60
    • changedInput schema / properties / exclude_domains / maxItems
      Previous value: -150New value: +1200
    • changedInput schema / properties / include_domains / description
      Previous value: -"Only return results from these domains (e.g. 'arxiv.org'). Max 1000, each ≤30 chars."New value: +"Only return results from these domains (e.g. 'arxiv.org'). Max 1200, each ≤60 chars."
    • changedInput schema / properties / include_domains / items / maxLength
      Previous value: -30New value: +60
    • changedInput schema / properties / include_domains / maxItems
      Previous value: -1000New value: +1200
    • removedInput schema / properties / include_videos
      Removed value: -{
-  "default": false,
-  "description": "Return video URLs found on each result page.",
-  "type": "boolean"
-}
  3. Changed1 schema field changedv0.4.2
    • changedInput schema / properties / timeout / description
      Previous value: -"Request timeout in seconds (1-60)."New value: +"Request timeout in seconds (1-60). Defaults to 30s if unset."
  4. Addedv0.3.6
  5. Removedv0.3.5
  6. Addedv0.3.4
  7. Removedv0.3.3
  8. Addedv0.2.2

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already mark the tool readOnly and non-destructive. The description adds useful behavioral context: results are ranked and real-time, full_content is heavier and costs more context, and time_range is mutually exclusive with start_time/end_time. It does not add much beyond schema-stated details in places, and some claims like 'fast, fresh, real-time' are somewhat promotional, but overall it discloses meaningful behavior beyond the annotations.

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?

The description is front-loaded with purpose and use-for guidance, followed by parameter details and keywords. It is longer than average, with some redundancy such as repeating 'single focused lookup' and emphasizing 'fast, fresh, real-time,' but the content is dense and mostly earns its place given the tool's 18 parameters.

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?

Despite having no output schema, the description clearly states the return shape (title, url, snippet) and additional output modes (highlight, full_content, include_images). Combined with the fully self-documenting input schema and explicit routing to alternatives, an agent has enough context to invoke the tool correctly for a wide range of focused lookup tasks.

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?

Schema description coverage is 100%, so the structured schema already documents every parameter fully. The description paraphrases a few key parameters (topic, highlight, full_content, include_images) but adds little meaning beyond what the schema states, such as noting that full_content 'costs more context.' Since the schema carries the burden, baseline 3 is appropriate.

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 opens with a concrete verb, resource, and output: 'Search the live web and return ranked results (title, url, snippet).' It clearly frames the tool as a single focused lookup and implicitly distinguishes it from siblings like broad_search and extract by contrasting scope and use case.

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

Usage Guidelines4/5

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

The description explicitly says to use this for a single focused lookup and tells the agent to use broad_search for multi-subtopic questions and extract for pages already known by URL. However, it does not mention the news_search sibling even though it instructs setting topic=news for news-focused results, leaving a potential ambiguity about when to prefer news_search.

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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