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Google Search Remote MCP Server

google_serp_events: GET /

hasdata_google_serp_events_getEventInformation

Get Google Events Results

Scrapes the Google Events vertical for a query plus location (or uule) with date filters (today, tomorrow, this/next week, weekend, this/next month), virtual-event toggle, domain/country/language targeting, and pagination. Returns event title, start date/time, venue name and address, ticket/source links, description, and thumbnail. Use for event-discovery chatbots, local aggregators, calendar sync, competitive monitoring of event listings, and pulling upcoming shows/conferences for a region.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesSpecify the search term for which you want to scrape the SERP.
glNoThe two-letter country code for the country you want to limit the search to. Provide one exact documented value (245 allowed), e.g. `ac`, `af`.
hlNoThe two-letter language code for the language you want to use for the search. Provide one exact documented value (159 allowed), e.g. `af`, `ak`.
uuleNoThe encoded location parameter.
startNoThis parameter specifies the number of search results to skip and is used for implementing pagination. For example, a value of 0 (default) indicates the first page of results, 10 refers to the second page, and 20 to the third page.
domainNoGoogle domain to use. Default is google.com. Provide one exact documented value (195 allowed), e.g. `google.ac`, `google.ad`.
htichipsNoFilter parameter for refining event search results. Supports various filters for events. Multiple filters can be passed using a comma. The available filters are: - `date:today`: Today's Events - `date:tomorrow`: Tomorrow's Events - `date:week`: This Week's Events - `date:weekend`: This Weekend's Events - `date:next_week`: Next Week's Events - `date:month`: This Month's Events - `date:next_month`: Next Month's Events - `event_type:Virtual-Event`: Online Events For example, to filter for today's online events, use: `event_type:Virtual-Event,date:today`.
locationNoGoogle canonical location for the search.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It states the tool 'scrapes' data, implying a read-only operation, but does not mention rate limits, authentication, or potential blocks. The description is adequate but not fully transparent about operational constraints.

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 concise and well-structured, starting with a brief summary, followed by functional details and use cases. It avoids excessive verbosity while covering essential aspects.

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, the description provides sufficient context about functionality, parameters, and intended use cases. It does not describe return values, but no output schema is provided, so that is not required. It is complete enough for an agent to decide when and how to invoke it.

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?

The schema already provides descriptions for all 8 parameters, including detailed explanation of htichips filters. The tool description adds no additional parameter semantics beyond what is already in the schema, so it meets the baseline but does not exceed it.

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 scrapes the Google Events vertical, listing specific filters and use cases. This distinguishes it from generic search and other vertical tools, such as general SERP or image search.

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?

It explicitly mentions use cases like event-discovery chatbots and local aggregators, implying when to use this tool. It does not name alternative tools, but the context makes it clear this is for event-specific searches.

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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