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cloro

by dev.cloro

Scrape Google Search

scrape_google
Read-only

Run a Google search from a chosen country and return organic results, with optional AI Overview extraction (include.aioverview) and People-Also-Ask AI answers (include.paaAioverview). Two modes: structured (query + country, with optional location/uule/pages) or url (a complete google.com/search URL that owns query, location, and pagination). 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. Required in query mode; in url mode it is read from the URL's gl parameter unless supplied here, and an explicit value wins.
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. In url mode it is read from the URL's hl parameter unless supplied here, and an explicit value wins.
urlNoA complete google.com/search URL to fetch instead of building one from structured fields. When set, query/location/uule/pages must be omitted (the URL owns them); gl and hl are read from the URL's gl/hl parameters unless supplied explicitly.
uuleNoOptional Google UULE location parameter. Mutually exclusive with location.
pagesNoNumber of result pages to fetch (1-10). Defaults to 1.
queryNoThe search query. Required unless url is provided.
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 flags. Set aioverview: true to extract Google's AI Overview (or { markdown: true } for markdown), paaAioverview: true to hydrate AI answers in People Also Ask. Leave unset for organic results only.
locationNoOptional location name to target search results (e.g. "Austin, Texas, United States"). Mutually exclusive with uule.

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already mark it read-only and non-destructive; the description adds meaningful behavioral detail: it emulates different devices, supports multi-page results, geo-targets via country/gl, and discloses that URL mode overrides structured fields. There is no contradiction with 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.

Conciseness5/5

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

The description is compact and front-loaded with the core action, followed by mode selection, device support, and optional features. Every sentence contributes useful information without redundancy.

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?

Given the tool's complexity — 10 parameters, nested include objects, multiple modes, and no output schema — the description covers invocation well. It lacks explicit output-structure details beyond "organic results," but the essential selection and calling context is present.

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 description coverage is 100%, so the baseline is 3. The description adds value by explicitly tying include.aioverview and include.paaAioverview to their extraction behavior and by summarizing the structured vs. URL ownership semantics, which helps the agent understand parameter interactions 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?

The description names a specific verb and resource: "Run a Google search" that "return[s] organic results." It clearly separates itself from siblings like scrape_google_news and scrape_google_ai_mode by focusing on standard Google organic results with optional AI Overview extraction.

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 gives explicit guidance on choosing between the two invocation modes — structured query/country vs. a full URL — and explains when the URL owns query, location, and pagination. It does not explicitly compare against sibling tools, but the mode-selection guidance is clear enough for correct invocation.

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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TDQS

A4/5.0
Disambiguation5/5

Each tool targets a distinct engine or product (ChatGPT, Copilot, Gemini, Google, Google News, etc.), and the descriptions clearly specify what each scrape returns. The only potential overlap is between Google search and Google AI Mode, but the descriptions separate them effectively.

Naming Consistency5/5

All tools follow a consistent snake_case verb_noun pattern: list_* for metadata and scrape_* for retrieval operations. The engine-specific names like scrape_chatgpt and scrape_google_ai_mode are predictable and easy to group.

Tool Count5/5

Ten tools is a well-scoped size for a geo-targeted search and AI answer scraping server. Each tool covers a meaningful engine or metadata requirement without excessive redundancy.

Completeness4/5

The tool surface covers major AI assistants, Google search variants, news, and supporting geo-targeting metadata. Minor gaps exist such as no standalone Bing/DuckDuckGo scraper or explicit engine model listing, but the core workflows are well supported.

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