com.googleapis.mapstools/mcp

Resolves a list of Google Maps URLs into canonical Google Maps Place IDs. **When to call this tool (CRITICAL):** * Use this tool when the user provides one or more Google Maps sharing links or URLs (e.g. 'https://maps.app.goo.gl/...', 'https://www.google.com/maps/place/...', or 'https://maps.google.com/...') and you need to extract the underlying canonical Place IDs. * You can specify up to 20 URLs to resolve in a single batch request. **Input Requirements (CRITICAL):** * **`urls` (array of strings - MANDATORY):** The list of Google Maps URLs to resolve. Each URL must be a valid, single-place Google Maps URL. **Error Handling (CRITICAL):** * This is a batch processing tool. A request might return "mixed results" (e.g. some URLs resolve successfully while others fail). * The output list of `entities` is guaranteed to map 1:1 with the input `urls` indices. A failed URL resolution will result in an empty `Entity` message (no fields are set) at its corresponding index in the `entities` list. * You **MUST** check the `failed_requests` map field in the response to identify which specific URL index failed. The key of `failed_requests` represents the 0-based index of the failed URL in the request. Do not assume the entire batch call failed because of a partial failure.

Resolves a batch list of specific location queries (landmark names or exact addresses) into canonical Google Maps Place IDs. **Input Requirements (CRITICAL):** 1. **`queries` (array of objects - MANDATORY):** A list of location queries to resolve. You may specify up to 20 queries. * **Each query object must have:** * **`text` (string - MANDATORY):** The text query representing a specific place name or address to resolve. * **Examples:** `'Googleplex, Mountain View, CA'`, `'1600 Amphitheatre Pkwy, Mountain View, CA'`, `'Eiffel Tower, Paris'`. 2. **`location_bias` (object - OPTIONAL):** Use this to prioritize results near a specific geographic area. * **Format:** `{"viewport": {"low": {"latitude": [value], "longitude": [value]}, "high": {"latitude": [value], "longitude": [value]}}}` 3. **`region_code` (string - OPTIONAL):** The Unicode CLDR region code (two-letter country code, e.g., `US`, `CA`) of the user to bias the results. **Instructions for Tool Call:** * Specificity (CRITICAL): Queries must represent a specific place name or address. General searches like `'restaurants'` or chain names like `'Starbucks'` are not supported. * Do NOT call this tool if the downstream tools you plan to invoke already accept raw address or place name strings directly. **Error Handling (CRITICAL):** * This is a batch processing tool. A request might return "mixed results" (e.g. some queries resolve successfully while others fail). * The output list of `results` is guaranteed to map 1:1 with the input `queries` indices. A failed query will result in an empty `Result` message (no `entity` is set) at its corresponding index in the `results` list. * You **MUST** check the `failed_requests` map field in the response to identify which specific query index failed. The key of `failed_requests` represents the 0-based index of the failed query in the request. Do not assume the entire batch call failed because of a partial failure.

Call this tool when the user's request is to find places, businesses, addresses, locations, points of interest, or any other Google Maps related search. **Input Requirements (CRITICAL):** 1. **`text_query` (string - MANDATORY):** The primary search query. This must clearly define what the user is looking for. * **Examples:** `'restaurants in New York'`, `'coffee shops near Golden Gate Park'`, `'SF MoMA'`, `'1600 Amphitheatre Pkwy, Mountain View, CA, USA'`, `'pets friendly parks in Manhattan, New York'`, `'date night restaurants in Chicago'`, `'accessible public libraries in Los Angeles'`. * **For specific place details:** Include the requested attribute (e.g., `'Google Store Mountain View opening hours'`, `'SF MoMa phone number'`, `'Shoreline Park Mountain View address'`). 2. **`location_bias` (object - OPTIONAL):** Use this to prioritize results near a specific geographic area. * **Format:** `{"location_bias": {"circle": {"center": {"latitude": [value], "longitude": [value]}, "radius_meters": [value (optional)]}}}` * **Usage:** * **To bias to a 5km radius:** `{"location_bias": {"circle": {"center": {"latitude": 34.052235, "longitude": -118.243683}, "radius_meters": 5000}}}` * **To bias strongly to the center point:** `{"location_bias": {"circle": {"center": {"latitude": 34.052235, "longitude": -118.243683}}}}` (omitting `radius_meters`). 3. **`language_code` (string - OPTIONAL):** The language to show the search results summary in. * **Format:** A two-letter language code (ISO 639-1), optionally followed by an underscore and a two-letter country code (ISO 3166-1 alpha-2), e.g., `en`, `ja`, `en_US`, `zh_CN`, `es_MX`. If the language code is not provided, the results will be in English. 4. **`region_code` (string - OPTIONAL):** The Unicode CLDR region code of the user. This parameter is used to display the place details, like region-specific place name, if available. The parameter canaffect results based on applicable law. * **Format:** A two-letter country code (ISO 3166-1 alpha-2), e.g., `US`, `CA`. **Instructions for Tool Call:** * Location Information (CRITICAL): The search must contain sufficient location information. If the location is ambiguous (e.g., just "pizza places"), *you must* specify it in the `text_query` (e.g., "pizza places in New York") or use the `location_bias` parameter. Include city, state/province, and region/country name if needed for disambiguation. * Always provide the most specific and contextually rich `text_query` possible. * Only use `location_bias` if coordinates are explicitly provided or if inferring a location from a user's known context is appropriate *and* necessary for better results. * The grounded output must be attributed to the source using the information from the `attribution` field when available.