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DataForSEO MCP Server

dataforseo_labs_google_top_searches

Retrieve top Google search keywords with metrics like search volume and CPC to identify trending topics and optimize content strategy.

Instructions

The Top Searches endpoint of DataForSEO Labs API can provide you with over 7 billion keywords from the DataForSEO Keyword Database. Each keyword in the API response is provided with a set of relevant keyword data with Google Ads metrics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
location_nameNofull name of the location required field only in format "Country" (not "City" or "Region") example: 'United Kingdom', 'United States', 'Canada'United States
language_codeNolanguage code required field example: enen
limitNoMaximum number of keywords to return
offsetNooffset in the results array of returned keywords optional field default value: 0 if you specify the 10 value, the first ten keywords in the results array will be omitted and the data will be provided for the successive keywords
filtersNoyou can add several filters at once (8 filters maximum) you should set a logical operator and, or between the conditions the following operators are supported: regex, not_regex, <, <=, >, >=, =, <>, in, not_in, match, not_match, ilike, not_ilike, like, not_like you can use the % operator with like and not_like, as well as ilike and not_ilike to match any string of zero or more characters merge operator must be a string and connect two other arrays, availible values: or, and. example: ["keyword_info.search_volume",">",0] [["keyword_info.search_volume","in",[0,1000]], "and", ["keyword_info.competition_level","=","LOW"]][["keyword_info.search_volume",">",100], "and", [["keyword_info.cpc","<",0.5], "or", ["keyword_info.high_top_of_page_bid","<=",0.5]]]
order_byNoresuresults sorting rules optional field you can use the same values as in the filters array to sort the results possible sorting types: asc – results will be sorted in the ascending order desc – results will be sorted in the descending order you should use a comma to set up a sorting type example: ["keyword_info.competition,desc"] default rule: ["keyword_info.search_volume,desc"] note that you can set no more than three sorting rules in a single request you should use a comma to separate several sorting rules example: ["keyword_info.search_volume,desc","keyword_info.cpc,desc"]
include_clickstream_dataNoInclude or exclude data from clickstream-based metrics in the result

Implementation Reference

  • The handle method implements the core logic of the tool, sending a POST request to the DataForSEO Labs Google Top Searches endpoint with the provided parameters and handling the response or error.
    async handle(params: any): Promise<any> {
      try {
        const response = await this.client.makeRequest('/v3/dataforseo_labs/google/top_searches/live', 'POST', [{
          location_name: params.location_name,
          language_code: params.language_code,
          limit: params.limit,
          offset: params.offset,
          filters: this.formatFilters(params.filters),
          order_by: this.formatOrderBy(params.order_by),
          include_clickstream_data: params.include_clickstream_data
        }]);
        return this.validateAndFormatResponse(response);
      } catch (error) {
        return this.formatErrorResponse(error);
      }
    }
  • Defines the input schema using Zod for parameters like location_name, language_code, limit, offset, filters, order_by, and include_clickstream_data.
      getParams(): z.ZodRawShape {
        return {
          location_name: z.string().default("United States").describe(`full name of the location
    required field
    in format "Country"
    example:
    United Kingdom`),
          language_code: z.string().default("en").describe(
            `language code
            required field
            example:
            en`),
          limit: z.number().min(1).max(1000).default(10).optional().describe("Maximum number of keywords to return"),
          offset: z.number().min(0).optional().describe(
            `offset in the results array of returned keywords
            optional field
            default value: 0
            if you specify the 10 value, the first ten keywords in the results array will be omitted and the data will be provided for the successive keywords`
          ),
          filters: z.array(
            z.union([
              z.array(z.union([z.string(), z.number(), z.boolean()])).length(3),
              z.enum(["and", "or"])
            ])
          ).max(8).optional().describe(
            `you can add several filters at once (8 filters maximum)
            you should set a logical operator and, or between the conditions
            the following operators are supported:
            regex, not_regex, <, <=, >, >=, =, <>, in, not_in, match, not_match, ilike, not_ilike, like, not_like
            you can use the % operator with like and not_like, as well as ilike and not_ilike to match any string of zero or more characters
            merge operator must be a string and connect two other arrays, availible values: or, and.
            example:
         ["keyword_info.search_volume",">",0]
    [["keyword_info.search_volume","in",[0,1000]],
    "and",
    ["keyword_info.competition_level","=","LOW"]][["keyword_info.search_volume",">",100],
    "and",
    [["keyword_info.cpc","<",0.5],
    "or",
    ["keyword_info.high_top_of_page_bid","<=",0.5]]]`
          ),
          order_by: z.array(z.string()).optional().describe(
            `resuresults sorting rules
    optional field
    you can use the same values as in the filters array to sort the results
    possible sorting types:
    asc – results will be sorted in the ascending order
    desc – results will be sorted in the descending order
    you should use a comma to set up a sorting type
    example:
    ["keyword_info.competition,desc"]
    default rule:
    ["keyword_info.search_volume,desc"]
    note that you can set no more than three sorting rules in a single request
    you should use a comma to separate several sorting rules
    example:
    ["keyword_info.search_volume,desc","keyword_info.cpc,desc"]`
          ),
          include_clickstream_data: z.boolean().optional().default(false).describe(
            `Include or exclude data from clickstream-based metrics in the result`)
        };
      }
  • Registers the GoogleTopSearchesTool by instantiating it and including it in the tools array, which is then mapped to tool definitions using the tool's name, description, params, and handler.
    getTools(): Record<string, ToolDefinition> {
      const tools = [
        new GoogleRankedKeywordsTool(this.dataForSEOClient),
        new GoogleDomainCompetitorsTool(this.dataForSEOClient),
        new GoogleDomainRankOverviewTool(this.dataForSEOClient),
        new GoogleKeywordsIdeasTool(this.dataForSEOClient),
        new GoogleRelatedKeywordsTool(this.dataForSEOClient),
        new GoogleKeywordsSuggestionsTool(this.dataForSEOClient),
        new GoogleHistoricalSERP(this.dataForSEOClient),
        new GoogleSERPCompetitorsTool(this.dataForSEOClient),
        new GoogleBulkKeywordDifficultyTool(this.dataForSEOClient),
        new GoogleSubdomainsTool(this.dataForSEOClient),
        new GoogleKeywordOverviewTool(this.dataForSEOClient),
        new GoogleTopSearchesTool(this.dataForSEOClient),
        new GoogleSearchIntentTool(this.dataForSEOClient),
        new GoogleKeywordsForSiteTool(this.dataForSEOClient),
        new GoogleDomainIntersectionsTool(this.dataForSEOClient),
        new GoogleHistoricalDomainRankOverviewTool(this.dataForSEOClient),
        new GooglePageIntersectionsTool(this.dataForSEOClient),
        new GoogleBulkTrafficEstimationTool(this.dataForSEOClient),
        new DataForSeoLabsFilterTool(this.dataForSEOClient),
        new GoogleHistoricalKeywordDataTool(this.dataForSEOClient),
        // Add more tools here
      ];
    
      return tools.reduce((acc, tool) => ({
        ...acc,
        [tool.getName()]: {
          description: tool.getDescription(),
          params: tool.getParams(),
          handler: (params: any) => tool.handle(params),
        },
      }), {});
  • Maps the tool name to its filter path 'top_searches.google' for use in the labs filters tool.
    'dataforseo_labs_google_top_searches': 'top_searches.google',
Behavior2/5

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

With no annotations provided, the description carries full burden but lacks critical behavioral details. It doesn't mention whether this is a read-only operation, potential rate limits, authentication requirements, or what the API response looks like (e.g., pagination, error handling). The mention of 'over 7 billion keywords' hints at scale but doesn't clarify practical 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 a single, efficient sentence that front-loads the core purpose. It avoids unnecessary fluff and directly states what the tool does, though it could be slightly more structured by explicitly mentioning it's an API endpoint.

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

Completeness2/5

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

For a tool with 7 parameters, no annotations, and no output schema, the description is insufficient. It doesn't cover behavioral aspects like safety, performance, or output format, leaving significant gaps for an AI agent to understand how to use it effectively beyond basic parameter input.

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 schema fully documents all 7 parameters. The description adds no parameter-specific information beyond implying keyword data includes Google Ads metrics, which is already suggested by the tool name. Baseline score of 3 is appropriate as the schema does the heavy lifting.

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?

The description clearly states the tool retrieves keywords from a database with Google Ads metrics, specifying the resource (keywords) and key data provided. However, it doesn't differentiate from sibling tools like 'dataforseo_labs_google_keyword_ideas' or 'dataforseo_labs_google_related_keywords', which likely serve similar keyword discovery purposes.

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?

No guidance is provided on when to use this tool versus alternatives. The description mentions it provides 'over 7 billion keywords' but doesn't explain how this differs from other keyword-related tools in the sibling list, such as those for keyword ideas, suggestions, or historical data.

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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