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Scrape Google News

scrape_google_news
Read-only

Run a Google News search from a chosen country and return news results. Supports desktop, mobile, iOS, and Android emulation and multi-page results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
glNoISO 3166-1 alpha-2 code for the result geography, sent to Google as gl (e.g. "us"). Use list_countries to see supported codes per model.
hlNoOptional Google interface-language code, sent as hl (e.g. "de", "pt-br"). Defaults to the language derived from gl — set it when the geography's dominant language is not the one you want.
pagesNoNumber of result pages to fetch (1-10). Defaults to 1.
queryYesThe search query.
deviceNoDevice to emulate: desktop, mobile, ios (Safari on iPhone), or android (Chrome on Android). mobile is an alias for android. Defaults to desktop.desktop
countryNoISO 3166-1 alpha-2 country code to geo-target the request from (e.g. "US"). Use list_countries to see supported codes per model. Deprecated — use gl instead; country is kept for compatibility and must not disagree with gl.
includeNoOptional flag, off by default: html (the result page HTML). Leave unset for the leanest response.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / include / description
      Previous value: -"Optional flags for heavier payload fields, each off by default: markdown (the answer rendered as markdown), html (the answer page HTML), rawResponse (the engine's unprocessed response payload). Leave unset for the leanest response."New value: +"Optional flag, off by default: html (the result page HTML). Leave unset for the leanest response."
  2. Changed1 schema field changed
    • changedInput schema / properties / include / description
      Previous value: -"Optional flags to include heavier payload fields in the response. Leave unset for the leanest response."New value: +"Optional flags for heavier payload fields, each off by default: markdown (the answer rendered as markdown), html (the answer page HTML), rawResponse (the engine's unprocessed response payload). Leave unset for the leanest response."
  3. Changed4 schema fields changed
    • changedInput schema / properties / country / description
      Previous value: -"ISO 3166-1 alpha-2 country code to geo-target the request from (e.g. \"US\"). Use list_countries to see supported codes per model."New value: +"ISO 3166-1 alpha-2 country code to geo-target the request from (e.g. \"US\"). Use list_countries to see supported codes per model. Deprecated — use gl instead; country is kept for compatibility and must not disagree with gl."
    • addedInput schema / properties / gl
      Added value: +{
+  "description": "ISO 3166-1 alpha-2 code for the result geography, sent to Google as gl (e.g. \"us\"). Use list_countries to see supported codes per model.",
+  "type": "string"
+}
    • addedInput schema / properties / hl
      Added value: +{
+  "description": "Optional Google interface-language code, sent as hl (e.g. \"de\", \"pt-br\"). Defaults to the language derived from gl — set it when the geography's dominant language is not the one you want.",
+  "type": "string"
+}
    • changedInput schema / required
      Previous value: -[
-  "query",
-  "country"
-]New value: +[
+  "query"
+]
  4. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful operational context (device emulation options and multi-page fetching), but does not mention rate limits, anti-bot behavior, or response shape for a scraper.

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?

Two tightly written sentences with no wasted words. The primary action and its notable capabilities are front-loaded, making the definition easy to scan.

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

Completeness3/5

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

The rich input schema and annotations carry most of the load, so the description does not need to repeat parameter details. However, with no output schema, the description only vaguely promises "news results" and omits return structure, pagination aggregation, or scraping cost/rate-limit context.

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 every parameter is already documented in detail, including deprecation notes for country and enum values for device. The description loosely maps to a few parameters (country, device, pages) but adds no syntax or format meaning beyond the schema.

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

Purpose4/5

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

States a specific verb and resource ("Run a Google News search") and names the field of results ("news results"). The name and description distinguish it from generic scrapers like scrape_google, but it never explicitly contrasts itself with sibling tools such as scrape_google or scrape_google_ai_mode.

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

Usage Guidelines2/5

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

The description says what the tool does but gives no guidance on when to choose it over scrape_google, scrape_google_ai_mode, or the other scraper siblings. It also omits any exclusions or prerequisites, leaving selection entirely to inference.

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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