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AIsa SEO & AI Visibility

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Content Analysis – Summary API

post_dataforseo_content_summary_live
Destructive

‌ This endpoint will provide you with an overview of citation data available for the target keyword.

Usage-based billing; Default request estimate: $0.0276 USD (not a fixed price). Account-specific pricing and final settlement may differ.

Input Schema

NameRequiredDescriptionDefault
bodyNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / $defs
      Added value: +{
+  "Provider0A3E90081762_AisaDataforseoFilterJsonValue": {
+    "anyOf": [
+      {
+        "type": "string"
+      },
+      {
+        "type": "number"
+      },
+      {
+        "type": "boolean"
+      },
+      {
+        "additionalProperties": {
+          "$ref": "#/$defs/Provider0A3E90081762_AisaDataforseoFilterJsonValue"
+        },
+        "type": [
+          "object",
+          "null"
+        ]
+      },
+      {
+        "items": {
+          "$ref": "#/$defs/Provider0A3E90081762_AisaDataforseoFilterJsonValue"
+        },
+        "type": "array"
+      }
+    ],
+    "description": "JSON representation of filter values and nested expressions. Field names, operators, condition counts and operand compatibility remain provider-validated as documented for each endpoint; this is not a complete filter-language validator."
+  }
+}
    • addedInput schema / properties / body / items / anyOf
      Added value: +[
+  {
+    "properties": {
+      "initial_dataset_filters": {
+        "description": "<em>initial dataset filtering parameters</em><br>optional field<br>initial filtering parameters that apply to fields in the <a href=\"/v3/content_analysis/search/live/?bash\" target=\"_blank\">Search endpoint</a><br><strong>you can add several filters at once (8 filters maximum)</strong><br>you should set a logical operator <code>and</code>, <code>or</code> between the conditions<br>the following operators are supported:<br><code>regex</code>, <code>not_regex</code>, <code>&lt;</code>, <code>&lt;=</code>, <code>&gt;</code>, <code>&gt;=</code>, <code>=</code>, <code>&lt;&gt;</code>, <code>in</code>, <code>not_in</code>, <code>like</code>,<code>not_like</code>, <code>has</code>, <code>has_not</code><br>you can use the <code>%</code> operator with <code>like</code> and <code>not_like</code> to match any string of zero or more characters<br>example:<br><code>[\"domain\",\"&lt;&gt;\", \"logitech.com\"]</code><p><code>[[\"domain\",\"&lt;&gt;\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\"&gt;\",1000]]</code><p><code>[[\"domain\",\"&lt;&gt\",\"logitech.com\"]],<br>\"and\",<br>[[\"content_info.connotation_types.negative\",\"&gt;\",1000],<br>\"or\",<p>[\"content_info.text_category\",\"has\",10994]]]</code><br>for more information about filters, please refer to <a href=\"/v3/content_analysis/filters\" target=\"_blank\" rel=\"noopener noreferrer\">Content Analysis API - Filters</a><br>learn more about the initial dataset filters in <a href=\"https://dataforseo.com/help-center/what-are-the-initial-dataset-filters-and-how-do-they-work\" rel=\"noopener noreferrer\" target=\"_blank\">this help center article.</a>",
+        "items": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "number"
+            },
+            {
+              "type": "boolean"
+            },
+            {
+              "additionalProperties": {
+                "$ref": "#/$defs/Provider0A3E90081762_AisaDataforseoFilterJsonValue"
+              },
+              "type": [
+                "object",
+                "null"
+              ]
+            },
+            {
+              "items": {
+                "$ref": "#/$defs/Provider0A3E90081762_AisaDataforseoFilterJsonValue"
+              },
+              "type": "array"
+            }
+          ],
+          "description": "JSON representation of filter values and nested expressions. Field names, operators, condition counts and operand compatibility remain provider-validated as documented for each endpoint; this is not a complete filter-language validator."
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "internal_list_limit": {
+        "description": "<em>maximum number of elements within internal arrays</em><br>optional field<br>you can use this field to limit the number of elements within the following arrays:<br><code>top_domains</code><br><code>text_categories</code><br><code>page_categories</code><br><code>countries</code><br><code>languages</code><br>default value: <code>1</code><br>maximum value: <code>20</code>",
+        "type": [
+          "integer",
+          "null"
+        ]
+      },
+      "keyword": {
+        "description": "<em>target keyword</em><br><strong>required field</strong><br>UTF-8 encoding<br>the keywords will be converted to a lowercase format;<br><strong>Note</strong>: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; <br>example: <br><code>\"keyword\": \"\\\"tesla palo alto\\\"\"</code><p>learn more about rules and limitations of <code>keyword</code> and <code>keywords</code> fields in DataForSEO APIs in this <a href=\"https://dataforseo.com/help-center/rules-and-limitations-of-keyword-and-keywords-fields-in-dataforseo-apis\" rel=\"noopener noreferrer\" target=\"_blank\">Help Center article</a>",
+        "type": "string"
+      },
+      "keyword_fields": {
+        "additionalProperties": {
+          "type": [
+            "string",
+            "null"
+          ]
+        },
+        "description": "<em>target keyword fields and target keywords</em><br>optional field<br>use this parameter to filter the dataset by keywords that certain fields should contain;<br>fields you can specify: <code>title</code>, <code>main_title</code>, <code>previous_title</code>, <code>snippet</code><br>you can indicate several fields;<br><strong>Note</strong>: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; <br>example:<br><code>\"keyword_fields\": {<br>\"snippet\": \"\\\"logitech mouse\\\"\",<br>\"main_title\": \"sale\"<br>}</code>",
+        "type": [
+          "object",
+          "null"
+        ]
+      },
+      "page_type": {
+        "description": "<em>target page types</em><br>optional field<br>use this parameter to filter the dataset by page types<br>possible values: <br><code>\"ecommerce\"</code>, <code>\"news\"</code>, <code>\"blogs\"</code>, <code>\"message-boards\"</code>, <code>\"organization\"</code>",
+        "items": {
+          "type": "string"
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "positive_connotation_threshold": {
+        "description": "<em>positive connotation threshold</em><br>optional field<br>specified as the probability index threshold for positive sentiment related to the citation content<br>if you specify this field, <code>connotation_types</code> object in the response will only contain data on citations with <code>positive</code> sentiment probability more than or equal to the specified value<br>possible values: from <code>0</code> to <code>1</code><br>default value: <code>0.4</code>",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "rank_scale": {
+        "description": "<em>defines the scale used for calculating and displaying the <code>rank</code> values</em><br>optional field<p>you can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale<p>possible values:<br><code>one_hundred</code> — rank values are displayed on a 0–100 scale<br><code>one_thousand</code> — rank values are displayed on a 0–1000 scale<p>default value: <code>one_thousand</code><p>learn more about how this parameter works in <a href=\"https://dataforseo.com/help-center/using-the-rank_scale-parameter-in-content-analysis-api\">this Help Center article</a>",
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "sentiments_connotation_threshold": {
+        "description": "<em>sentiment connotation threshold</em><br>optional field<br>specified as the probability index threshold for sentiment connotations related to the citation content<br>if you specify this field, <code>sentiment_connotations</code> object in the response will only contain data on citations where the <br>probability per each sentiment is more than or equal to the specified value<br>possible values: from <code>0</code> to <code>1</code><br>default value: <code>0.4</code>",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "tag": {
+        "description": "<em>user-defined task identifier</em><br>optional field<br><em>the character limit is 255</em><br>you can use this parameter to identify the task and match it with the result<br>you will find the specified <code>tag</code> value in the <code>data</code> object of the response",
+        "type": [
+          "string",
+          "null"
+        ]
+      }
+    },
+    "type": "object"
+  }
+]
    • removedInput schema / properties / body / items / oneOf
      Removed value: -[
-  {
-    "example": [
-      {
-        "internal_list_limit": 8,
-        "keyword": "logitech",
-        "page_type": [
-          "ecommerce",
-          "news",
-          "blogs",
-          "message-boards",
-          "organization"
-        ],
-        "positive_connotation_threshold": 0.5
-      }
-    ],
-    "properties": {
-      "initial_dataset_filters": {
-        "description": "<em>initial dataset filtering parameters</em><br>optional field<br>initial filtering parameters that apply to fields in the <a href=\"/v3/content_analysis/search/live/?bash\" target=\"_blank\">Search endpoint</a><br><strong>you can add several filters at once (8 filters maximum)</strong><br>you should set a logical operator <code>and</code>, <code>or</code> between the conditions<br>the following operators are supported:<br><code>regex</code>, <code>not_regex</code>, <code>&lt;</code>, <code>&lt;=</code>, <code>&gt;</code>, <code>&gt;=</code>, <code>=</code>, <code>&lt;&gt;</code>, <code>in</code>, <code>not_in</code>, <code>like</code>,<code>not_like</code>, <code>has</code>, <code>has_not</code><br>you can use the <code>%</code> operator with <code>like</code> and <code>not_like</code> to match any string of zero or more characters<br>example:<br><code>[\"domain\",\"&lt;&gt;\", \"logitech.com\"]</code><p><code>[[\"domain\",\"&lt;&gt;\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\"&gt;\",1000]]</code><p><code>[[\"domain\",\"&lt;&gt\",\"logitech.com\"]],<br>\"and\",<br>[[\"content_info.connotation_types.negative\",\"&gt;\",1000],<br>\"or\",<p>[\"content_info.text_category\",\"has\",10994]]]</code><br>for more information about filters, please refer to <a href=\"/v3/content_analysis/filters\" target=\"_blank\" rel=\"noopener noreferrer\">Content Analysis API - Filters</a><br>learn more about the initial dataset filters in <a href=\"https://dataforseo.com/help-center/what-are-the-initial-dataset-filters-and-how-do-they-work\" rel=\"noopener noreferrer\" target=\"_blank\">this help center article.</a>",
-        "items": {
-          "type": [
-            "object",
-            "null"
-          ]
-        },
-        "type": [
-          "array",
-          "null"
-        ]
-      },
-      "internal_list_limit": {
-        "description": "<em>maximum number of elements within internal arrays</em><br>optional field<br>you can use this field to limit the number of elements within the following arrays:<br><code>top_domains</code><br><code>text_categories</code><br><code>page_categories</code><br><code>countries</code><br><code>languages</code><br>default value: <code>1</code><br>maximum value: <code>20</code>",
-        "type": [
-          "integer",
-          "null"
-        ]
-      },
-      "keyword": {
-        "description": "<em>target keyword</em><br><strong>required field</strong><br>UTF-8 encoding<br>the keywords will be converted to a lowercase format;<br><strong>Note</strong>: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; <br>example: <br><code>\"keyword\": \"\\\"tesla palo alto\\\"\"</code><p>learn more about rules and limitations of <code>keyword</code> and <code>keywords</code> fields in DataForSEO APIs in this <a href=\"https://dataforseo.com/help-center/rules-and-limitations-of-keyword-and-keywords-fields-in-dataforseo-apis\" rel=\"noopener noreferrer\" target=\"_blank\">Help Center article</a>",
-        "type": "string"
-      },
-      "keyword_fields": {
-        "additionalProperties": {
-          "type": [
-            "string",
-            "null"
-          ]
-        },
-        "description": "<em>target keyword fields and target keywords</em><br>optional field<br>use this parameter to filter the dataset by keywords that certain fields should contain;<br>fields you can specify: <code>title</code>, <code>main_title</code>, <code>previous_title</code>, <code>snippet</code><br>you can indicate several fields;<br><strong>Note</strong>: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; <br>example:<br><code>\"keyword_fields\": {<br>\"snippet\": \"\\\"logitech mouse\\\"\",<br>\"main_title\": \"sale\"<br>}</code>",
-        "type": [
-          "object",
-          "null"
-        ]
-      },
-      "page_type": {
-        "description": "<em>target page types</em><br>optional field<br>use this parameter to filter the dataset by page types<br>possible values: <br><code>\"ecommerce\"</code>, <code>\"news\"</code>, <code>\"blogs\"</code>, <code>\"message-boards\"</code>, <code>\"organization\"</code>",
-        "items": {
-          "type": "string"
-        },
-        "type": [
-          "array",
-          "null"
-        ]
-      },
-      "positive_connotation_threshold": {
-        "description": "<em>positive connotation threshold</em><br>optional field<br>specified as the probability index threshold for positive sentiment related to the citation content<br>if you specify this field, <code>connotation_types</code> object in the response will only contain data on citations with <code>positive</code> sentiment probability more than or equal to the specified value<br>possible values: from <code>0</code> to <code>1</code><br>default value: <code>0.4</code>",
-        "type": [
-          "number",
-          "null"
-        ]
-      },
-      "rank_scale": {
-        "description": "<em>defines the scale used for calculating and displaying the <code>rank</code> values</em><br>optional field<p>you can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale<p>possible values:<br><code>one_hundred</code> — rank values are displayed on a 0–100 scale<br><code>one_thousand</code> — rank values are displayed on a 0–1000 scale<p>default value: <code>one_thousand</code><p>learn more about how this parameter works in <a href=\"https://dataforseo.com/help-center/using-the-rank_scale-parameter-in-content-analysis-api\">this Help Center article</a>",
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "sentiments_connotation_threshold": {
-        "description": "<em>sentiment connotation threshold</em><br>optional field<br>specified as the probability index threshold for sentiment connotations related to the citation content<br>if you specify this field, <code>sentiment_connotations</code> object in the response will only contain data on citations where the <br>probability per each sentiment is more than or equal to the specified value<br>possible values: from <code>0</code> to <code>1</code><br>default value: <code>0.4</code>",
-        "type": [
-          "number",
-          "null"
-        ]
-      },
-      "tag": {
-        "description": "<em>user-defined task identifier</em><br>optional field<br><em>the character limit is 255</em><br>you can use this parameter to identify the task and match it with the result<br>you will find the specified <code>tag</code> value in the <code>data</code> object of the response",
-        "type": [
-          "string",
-          "null"
-        ]
-      }
-    },
-    "type": "object"
-  }
-]
  2. Changed2 schema fields changed
    • removedInput schema / properties / body / items / anyOf
      Removed value: -[
-  {
-    "example": [
-      {
-        "internal_list_limit": 8,
-        "keyword": "logitech",
-        "page_type": [
-          "ecommerce",
-          "news",
-          "blogs",
-          "message-boards",
-          "organization"
-        ],
-        "positive_connotation_threshold": 0.5
-      }
-    ],
-    "properties": {
-      "initial_dataset_filters": {
-        "description": "<em>initial dataset filtering parameters</em><br>optional field<br>initial filtering parameters that apply to fields in the <a href=\"/v3/content_analysis/search/live/?bash\" target=\"_blank\">Search endpoint</a><br><strong>you can add several filters at once (8 filters maximum)</strong><br>you should set a logical operator <code>and</code>, <code>or</code> between the conditions<br>the following operators are supported:<br><code>regex</code>, <code>not_regex</code>, <code>&lt;</code>, <code>&lt;=</code>, <code>&gt;</code>, <code>&gt;=</code>, <code>=</code>, <code>&lt;&gt;</code>, <code>in</code>, <code>not_in</code>, <code>like</code>,<code>not_like</code>, <code>has</code>, <code>has_not</code><br>you can use the <code>%</code> operator with <code>like</code> and <code>not_like</code> to match any string of zero or more characters<br>example:<br><code>[\"domain\",\"&lt;&gt;\", \"logitech.com\"]</code><p><code>[[\"domain\",\"&lt;&gt;\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\"&gt;\",1000]]</code><p><code>[[\"domain\",\"&lt;&gt\",\"logitech.com\"]],<br>\"and\",<br>[[\"content_info.connotation_types.negative\",\"&gt;\",1000],<br>\"or\",<p>[\"content_info.text_category\",\"has\",10994]]]</code><br>for more information about filters, please refer to <a href=\"/v3/content_analysis/filters\" target=\"_blank\" rel=\"noopener noreferrer\">Content Analysis API - Filters</a><br>learn more about the initial dataset filters in <a href=\"https://dataforseo.com/help-center/what-are-the-initial-dataset-filters-and-how-do-they-work\" rel=\"noopener noreferrer\" target=\"_blank\">this help center article.</a>",
-        "items": {
-          "type": [
-            "object",
-            "null"
-          ]
-        },
-        "type": [
-          "array",
-          "null"
-        ]
-      },
-      "internal_list_limit": {
-        "description": "<em>maximum number of elements within internal arrays</em><br>optional field<br>you can use this field to limit the number of elements within the following arrays:<br><code>top_domains</code><br><code>text_categories</code><br><code>page_categories</code><br><code>countries</code><br><code>languages</code><br>default value: <code>1</code><br>maximum value: <code>20</code>",
-        "type": [
-          "integer",
-          "null"
-        ]
-      },
-      "keyword": {
-        "description": "<em>target keyword</em><br><strong>required field</strong><br>UTF-8 encoding<br>the keywords will be converted to a lowercase format;<br><strong>Note</strong>: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; <br>example: <br><code>\"keyword\": \"\\\"tesla palo alto\\\"\"</code><p>learn more about rules and limitations of <code>keyword</code> and <code>keywords</code> fields in DataForSEO APIs in this <a href=\"https://dataforseo.com/help-center/rules-and-limitations-of-keyword-and-keywords-fields-in-dataforseo-apis\" rel=\"noopener noreferrer\" target=\"_blank\">Help Center article</a>",
-        "type": "string"
-      },
-      "keyword_fields": {
-        "additionalProperties": {
-          "type": [
-            "string",
-            "null"
-          ]
-        },
-        "description": "<em>target keyword fields and target keywords</em><br>optional field<br>use this parameter to filter the dataset by keywords that certain fields should contain;<br>fields you can specify: <code>title</code>, <code>main_title</code>, <code>previous_title</code>, <code>snippet</code><br>you can indicate several fields;<br><strong>Note</strong>: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; <br>example:<br><code>\"keyword_fields\": {<br>\"snippet\": \"\\\"logitech mouse\\\"\",<br>\"main_title\": \"sale\"<br>}</code>",
-        "type": [
-          "object",
-          "null"
-        ]
-      },
-      "page_type": {
-        "description": "<em>target page types</em><br>optional field<br>use this parameter to filter the dataset by page types<br>possible values: <br><code>\"ecommerce\"</code>, <code>\"news\"</code>, <code>\"blogs\"</code>, <code>\"message-boards\"</code>, <code>\"organization\"</code>",
-        "items": {
-          "type": "string"
-        },
-        "type": [
-          "array",
-          "null"
-        ]
-      },
-      "positive_connotation_threshold": {
-        "description": "<em>positive connotation threshold</em><br>optional field<br>specified as the probability index threshold for positive sentiment related to the citation content<br>if you specify this field, <code>connotation_types</code> object in the response will only contain data on citations with <code>positive</code> sentiment probability more than or equal to the specified value<br>possible values: from <code>0</code> to <code>1</code><br>default value: <code>0.4</code>",
-        "type": [
-          "number",
-          "null"
-        ]
-      },
-      "rank_scale": {
-        "description": "<em>defines the scale used for calculating and displaying the <code>rank</code> values</em><br>optional field<p>you can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale<p>possible values:<br><code>one_hundred</code> — rank values are displayed on a 0–100 scale<br><code>one_thousand</code> — rank values are displayed on a 0–1000 scale<p>default value: <code>one_thousand</code><p>learn more about how this parameter works in <a href=\"https://dataforseo.com/help-center/using-the-rank_scale-parameter-in-content-analysis-api\">this Help Center article</a>",
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "sentiments_connotation_threshold": {
-        "description": "<em>sentiment connotation threshold</em><br>optional field<br>specified as the probability index threshold for sentiment connotations related to the citation content<br>if you specify this field, <code>sentiment_connotations</code> object in the response will only contain data on citations where the <br>probability per each sentiment is more than or equal to the specified value<br>possible values: from <code>0</code> to <code>1</code><br>default value: <code>0.4</code>",
-        "type": [
-          "number",
-          "null"
-        ]
-      },
-      "tag": {
-        "description": "<em>user-defined task identifier</em><br>optional field<br><em>the character limit is 255</em><br>you can use this parameter to identify the task and match it with the result<br>you will find the specified <code>tag</code> value in the <code>data</code> object of the response",
-        "type": [
-          "string",
-          "null"
-        ]
-      }
-    },
-    "type": "object"
-  }
-]
    • addedInput schema / properties / body / items / oneOf
      Added value: +[
+  {
+    "example": [
+      {
+        "internal_list_limit": 8,
+        "keyword": "logitech",
+        "page_type": [
+          "ecommerce",
+          "news",
+          "blogs",
+          "message-boards",
+          "organization"
+        ],
+        "positive_connotation_threshold": 0.5
+      }
+    ],
+    "properties": {
+      "initial_dataset_filters": {
+        "description": "<em>initial dataset filtering parameters</em><br>optional field<br>initial filtering parameters that apply to fields in the <a href=\"/v3/content_analysis/search/live/?bash\" target=\"_blank\">Search endpoint</a><br><strong>you can add several filters at once (8 filters maximum)</strong><br>you should set a logical operator <code>and</code>, <code>or</code> between the conditions<br>the following operators are supported:<br><code>regex</code>, <code>not_regex</code>, <code>&lt;</code>, <code>&lt;=</code>, <code>&gt;</code>, <code>&gt;=</code>, <code>=</code>, <code>&lt;&gt;</code>, <code>in</code>, <code>not_in</code>, <code>like</code>,<code>not_like</code>, <code>has</code>, <code>has_not</code><br>you can use the <code>%</code> operator with <code>like</code> and <code>not_like</code> to match any string of zero or more characters<br>example:<br><code>[\"domain\",\"&lt;&gt;\", \"logitech.com\"]</code><p><code>[[\"domain\",\"&lt;&gt;\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\"&gt;\",1000]]</code><p><code>[[\"domain\",\"&lt;&gt\",\"logitech.com\"]],<br>\"and\",<br>[[\"content_info.connotation_types.negative\",\"&gt;\",1000],<br>\"or\",<p>[\"content_info.text_category\",\"has\",10994]]]</code><br>for more information about filters, please refer to <a href=\"/v3/content_analysis/filters\" target=\"_blank\" rel=\"noopener noreferrer\">Content Analysis API - Filters</a><br>learn more about the initial dataset filters in <a href=\"https://dataforseo.com/help-center/what-are-the-initial-dataset-filters-and-how-do-they-work\" rel=\"noopener noreferrer\" target=\"_blank\">this help center article.</a>",
+        "items": {
+          "type": [
+            "object",
+            "null"
+          ]
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "internal_list_limit": {
+        "description": "<em>maximum number of elements within internal arrays</em><br>optional field<br>you can use this field to limit the number of elements within the following arrays:<br><code>top_domains</code><br><code>text_categories</code><br><code>page_categories</code><br><code>countries</code><br><code>languages</code><br>default value: <code>1</code><br>maximum value: <code>20</code>",
+        "type": [
+          "integer",
+          "null"
+        ]
+      },
+      "keyword": {
+        "description": "<em>target keyword</em><br><strong>required field</strong><br>UTF-8 encoding<br>the keywords will be converted to a lowercase format;<br><strong>Note</strong>: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; <br>example: <br><code>\"keyword\": \"\\\"tesla palo alto\\\"\"</code><p>learn more about rules and limitations of <code>keyword</code> and <code>keywords</code> fields in DataForSEO APIs in this <a href=\"https://dataforseo.com/help-center/rules-and-limitations-of-keyword-and-keywords-fields-in-dataforseo-apis\" rel=\"noopener noreferrer\" target=\"_blank\">Help Center article</a>",
+        "type": "string"
+      },
+      "keyword_fields": {
+        "additionalProperties": {
+          "type": [
+            "string",
+            "null"
+          ]
+        },
+        "description": "<em>target keyword fields and target keywords</em><br>optional field<br>use this parameter to filter the dataset by keywords that certain fields should contain;<br>fields you can specify: <code>title</code>, <code>main_title</code>, <code>previous_title</code>, <code>snippet</code><br>you can indicate several fields;<br><strong>Note</strong>: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; <br>example:<br><code>\"keyword_fields\": {<br>\"snippet\": \"\\\"logitech mouse\\\"\",<br>\"main_title\": \"sale\"<br>}</code>",
+        "type": [
+          "object",
+          "null"
+        ]
+      },
+      "page_type": {
+        "description": "<em>target page types</em><br>optional field<br>use this parameter to filter the dataset by page types<br>possible values: <br><code>\"ecommerce\"</code>, <code>\"news\"</code>, <code>\"blogs\"</code>, <code>\"message-boards\"</code>, <code>\"organization\"</code>",
+        "items": {
+          "type": "string"
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "positive_connotation_threshold": {
+        "description": "<em>positive connotation threshold</em><br>optional field<br>specified as the probability index threshold for positive sentiment related to the citation content<br>if you specify this field, <code>connotation_types</code> object in the response will only contain data on citations with <code>positive</code> sentiment probability more than or equal to the specified value<br>possible values: from <code>0</code> to <code>1</code><br>default value: <code>0.4</code>",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "rank_scale": {
+        "description": "<em>defines the scale used for calculating and displaying the <code>rank</code> values</em><br>optional field<p>you can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale<p>possible values:<br><code>one_hundred</code> — rank values are displayed on a 0–100 scale<br><code>one_thousand</code> — rank values are displayed on a 0–1000 scale<p>default value: <code>one_thousand</code><p>learn more about how this parameter works in <a href=\"https://dataforseo.com/help-center/using-the-rank_scale-parameter-in-content-analysis-api\">this Help Center article</a>",
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "sentiments_connotation_threshold": {
+        "description": "<em>sentiment connotation threshold</em><br>optional field<br>specified as the probability index threshold for sentiment connotations related to the citation content<br>if you specify this field, <code>sentiment_connotations</code> object in the response will only contain data on citations where the <br>probability per each sentiment is more than or equal to the specified value<br>possible values: from <code>0</code> to <code>1</code><br>default value: <code>0.4</code>",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "tag": {
+        "description": "<em>user-defined task identifier</em><br>optional field<br><em>the character limit is 255</em><br>you can use this parameter to identify the task and match it with the result<br>you will find the specified <code>tag</code> value in the <code>data</code> object of the response",
+        "type": [
+          "string",
+          "null"
+        ]
+      }
+    },
+    "type": "object"
+  }
+]
  3. Changed7 schema fields changed
    • addedInput schema / properties / body / example
      Added value: +[
+  {
+    "internal_list_limit": 8,
+    "keyword": "logitech",
+    "page_type": [
+      "ecommerce",
+      "news",
+      "blogs",
+      "message-boards",
+      "organization"
+    ],
+    "positive_connotation_threshold": 0.5
+  }
+]
    • addedInput schema / properties / body / items / anyOf
      Added value: +[
+  {
+    "example": [
+      {
+        "internal_list_limit": 8,
+        "keyword": "logitech",
+        "page_type": [
+          "ecommerce",
+          "news",
+          "blogs",
+          "message-boards",
+          "organization"
+        ],
+        "positive_connotation_threshold": 0.5
+      }
+    ],
+    "properties": {
+      "initial_dataset_filters": {
+        "description": "<em>initial dataset filtering parameters</em><br>optional field<br>initial filtering parameters that apply to fields in the <a href=\"/v3/content_analysis/search/live/?bash\" target=\"_blank\">Search endpoint</a><br><strong>you can add several filters at once (8 filters maximum)</strong><br>you should set a logical operator <code>and</code>, <code>or</code> between the conditions<br>the following operators are supported:<br><code>regex</code>, <code>not_regex</code>, <code>&lt;</code>, <code>&lt;=</code>, <code>&gt;</code>, <code>&gt;=</code>, <code>=</code>, <code>&lt;&gt;</code>, <code>in</code>, <code>not_in</code>, <code>like</code>,<code>not_like</code>, <code>has</code>, <code>has_not</code><br>you can use the <code>%</code> operator with <code>like</code> and <code>not_like</code> to match any string of zero or more characters<br>example:<br><code>[\"domain\",\"&lt;&gt;\", \"logitech.com\"]</code><p><code>[[\"domain\",\"&lt;&gt;\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\"&gt;\",1000]]</code><p><code>[[\"domain\",\"&lt;&gt\",\"logitech.com\"]],<br>\"and\",<br>[[\"content_info.connotation_types.negative\",\"&gt;\",1000],<br>\"or\",<p>[\"content_info.text_category\",\"has\",10994]]]</code><br>for more information about filters, please refer to <a href=\"/v3/content_analysis/filters\" target=\"_blank\" rel=\"noopener noreferrer\">Content Analysis API - Filters</a><br>learn more about the initial dataset filters in <a href=\"https://dataforseo.com/help-center/what-are-the-initial-dataset-filters-and-how-do-they-work\" rel=\"noopener noreferrer\" target=\"_blank\">this help center article.</a>",
+        "items": {
+          "type": [
+            "object",
+            "null"
+          ]
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "internal_list_limit": {
+        "description": "<em>maximum number of elements within internal arrays</em><br>optional field<br>you can use this field to limit the number of elements within the following arrays:<br><code>top_domains</code><br><code>text_categories</code><br><code>page_categories</code><br><code>countries</code><br><code>languages</code><br>default value: <code>1</code><br>maximum value: <code>20</code>",
+        "type": [
+          "integer",
+          "null"
+        ]
+      },
+      "keyword": {
+        "description": "<em>target keyword</em><br><strong>required field</strong><br>UTF-8 encoding<br>the keywords will be converted to a lowercase format;<br><strong>Note</strong>: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; <br>example: <br><code>\"keyword\": \"\\\"tesla palo alto\\\"\"</code><p>learn more about rules and limitations of <code>keyword</code> and <code>keywords</code> fields in DataForSEO APIs in this <a href=\"https://dataforseo.com/help-center/rules-and-limitations-of-keyword-and-keywords-fields-in-dataforseo-apis\" rel=\"noopener noreferrer\" target=\"_blank\">Help Center article</a>",
+        "type": "string"
+      },
+      "keyword_fields": {
+        "additionalProperties": {
+          "type": [
+            "string",
+            "null"
+          ]
+        },
+        "description": "<em>target keyword fields and target keywords</em><br>optional field<br>use this parameter to filter the dataset by keywords that certain fields should contain;<br>fields you can specify: <code>title</code>, <code>main_title</code>, <code>previous_title</code>, <code>snippet</code><br>you can indicate several fields;<br><strong>Note</strong>: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; <br>example:<br><code>\"keyword_fields\": {<br>\"snippet\": \"\\\"logitech mouse\\\"\",<br>\"main_title\": \"sale\"<br>}</code>",
+        "type": [
+          "object",
+          "null"
+        ]
+      },
+      "page_type": {
+        "description": "<em>target page types</em><br>optional field<br>use this parameter to filter the dataset by page types<br>possible values: <br><code>\"ecommerce\"</code>, <code>\"news\"</code>, <code>\"blogs\"</code>, <code>\"message-boards\"</code>, <code>\"organization\"</code>",
+        "items": {
+          "type": "string"
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "positive_connotation_threshold": {
+        "description": "<em>positive connotation threshold</em><br>optional field<br>specified as the probability index threshold for positive sentiment related to the citation content<br>if you specify this field, <code>connotation_types</code> object in the response will only contain data on citations with <code>positive</code> sentiment probability more than or equal to the specified value<br>possible values: from <code>0</code> to <code>1</code><br>default value: <code>0.4</code>",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "rank_scale": {
+        "description": "<em>defines the scale used for calculating and displaying the <code>rank</code> values</em><br>optional field<p>you can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale<p>possible values:<br><code>one_hundred</code> — rank values are displayed on a 0–100 scale<br><code>one_thousand</code> — rank values are displayed on a 0–1000 scale<p>default value: <code>one_thousand</code><p>learn more about how this parameter works in <a href=\"https://dataforseo.com/help-center/using-the-rank_scale-parameter-in-content-analysis-api\">this Help Center article</a>",
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "sentiments_connotation_threshold": {
+        "description": "<em>sentiment connotation threshold</em><br>optional field<br>specified as the probability index threshold for sentiment connotations related to the citation content<br>if you specify this field, <code>sentiment_connotations</code> object in the response will only contain data on citations where the <br>probability per each sentiment is more than or equal to the specified value<br>possible values: from <code>0</code> to <code>1</code><br>default value: <code>0.4</code>",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "tag": {
+        "description": "<em>user-defined task identifier</em><br>optional field<br><em>the character limit is 255</em><br>you can use this parameter to identify the task and match it with the result<br>you will find the specified <code>tag</code> value in the <code>data</code> object of the response",
+        "type": [
+          "string",
+          "null"
+        ]
+      }
+    },
+    "type": "object"
+  }
+]
    • removedInput schema / properties / body / items / properties
      Removed value: -{
-  "initial_dataset_filters": {
-    "description": "initial dataset filtering parameters optional field initial filtering parameters that apply to fields in the Search endpoint 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, like,not_like, has, has_not you can use the % operator with like and not_like to match any string of zero or more characters example: [\"domain\",\"\", \"logitech.com\"] [[\"domain\",\"\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\">\",1000]] [[\"domain\",\"\",\"logitech.com\"]], \"and\", [[\"content_info.connotation_types.negative\",\">\",1000], \"or\", [\"content_info.text_category\",\"has\",10994]]] for more information about filters, please refer to Content Analysis API – Filters learn more about the initial dataset filters in this help center article.",
-    "items": {},
-    "type": "array"
-  },
-  "internal_list_limit": {
-    "description": "maximum number of elements within internal arrays optional field you can use this field to limit the number of elements within the following arrays: top_domains text_categories page_categories countries languages default value: 1 maximum value: 20",
-    "type": "integer"
-  },
-  "keyword": {
-    "description": "target keyword required field UTF-8 encoding the keywords will be converted to a lowercase format; Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; example: \"keyword\": \"\\\"tesla palo alto\\\"\" learn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article",
-    "type": "string"
-  },
-  "keyword_fields": {
-    "description": "target keyword fields and target keywords optional field use this parameter to filter the dataset by keywords that certain fields should contain; fields you can specify: title, main_title, previous_title, snippet you can indicate several fields; Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; example: \"keyword_fields\": { \"snippet\": \"\\\"logitech mouse\\\"\", \"main_title\": \"sale\" }",
-    "properties": {
-      "main_title": {
-        "type": "string"
-      },
-      "previous_title": {
-        "type": "string"
-      },
-      "snippet": {
-        "type": "string"
-      },
-      "title": {
-        "type": "string"
-      }
-    },
-    "type": "object"
-  },
-  "page_type": {
-    "description": "target page types optional field use this parameter to filter the dataset by page types possible values: \"ecommerce\", \"news\", \"blogs\", \"message-boards\", \"organization\"",
-    "items": {
-      "type": "string"
-    },
-    "type": "array"
-  },
-  "positive_connotation_threshold": {
-    "description": "positive connotation threshold optional field specified as the probability index threshold for positive sentiment related to the citation content if you specify this field, connotation_types object in the response will only contain data on citations with positive sentiment probability more than or equal to the specified value possible values: from 0 to 1 default value: 0.4",
-    "type": "number"
-  },
-  "rank_scale": {
-    "description": "defines the scale used for calculating and displaying the rank values optional field you can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale possible values: one_hundred — rank values are displayed on a 0–100 scale one_thousand — rank values are displayed on a 0–1000 scale default value: one_thousand learn more about how this parameter works in this Help Center article",
-    "type": "string"
-  },
-  "sentiments_connotation_threshold": {
-    "description": "sentiment connotation threshold optional field specified as the probability index threshold for sentiment connotations related to the citation content if you specify this field, sentiment_connotations object in the response will only contain data on citations where the probability per each sentiment is more than or equal to the specified value possible values: from 0 to 1 default value: 0.4",
-    "type": "number"
-  },
-  "tag": {
-    "description": "user-defined task identifier optional field the character limit is 255 you can use this parameter to identify the task and match it with the result you will find the specified tag value in the data object of the response",
-    "type": "string"
-  }
-}
    • removedInput schema / properties / body / items / required
      Removed value: -[
-  "keyword"
-]
    • changedInput schema / properties / body / items / type
      Previous value: -"object"New value: +[
+  "object",
+  "null"
+]
    • changedInput schema / required
      Previous value: -[
-  "body"
-]New value: +[]
    • addedOutput schema / x-fastmcp-wrap-result
      Added value: +true
  4. Changed7 schema fields changed
    • removedInput schema / properties / body / example
      Removed value: -[
-  {
-    "internal_list_limit": 8,
-    "keyword": "logitech",
-    "page_type": [
-      "ecommerce",
-      "news",
-      "blogs",
-      "message-boards",
-      "organization"
-    ],
-    "positive_connotation_threshold": 0.5
-  }
-]
    • removedInput schema / properties / body / items / anyOf
      Removed value: -[
-  {
-    "example": [
-      {
-        "internal_list_limit": 8,
-        "keyword": "logitech",
-        "page_type": [
-          "ecommerce",
-          "news",
-          "blogs",
-          "message-boards",
-          "organization"
-        ],
-        "positive_connotation_threshold": 0.5
-      }
-    ],
-    "properties": {
-      "initial_dataset_filters": {
-        "description": "<em>initial dataset filtering parameters</em><br>optional field<br>initial filtering parameters that apply to fields in the <a href=\"/v3/content_analysis/search/live/?bash\" target=\"_blank\">Search endpoint</a><br><strong>you can add several filters at once (8 filters maximum)</strong><br>you should set a logical operator <code>and</code>, <code>or</code> between the conditions<br>the following operators are supported:<br><code>regex</code>, <code>not_regex</code>, <code>&lt;</code>, <code>&lt;=</code>, <code>&gt;</code>, <code>&gt;=</code>, <code>=</code>, <code>&lt;&gt;</code>, <code>in</code>, <code>not_in</code>, <code>like</code>,<code>not_like</code>, <code>has</code>, <code>has_not</code><br>you can use the <code>%</code> operator with <code>like</code> and <code>not_like</code> to match any string of zero or more characters<br>example:<br><code>[\"domain\",\"&lt;&gt;\", \"logitech.com\"]</code><p><code>[[\"domain\",\"&lt;&gt;\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\"&gt;\",1000]]</code><p><code>[[\"domain\",\"&lt;&gt\",\"logitech.com\"]],<br>\"and\",<br>[[\"content_info.connotation_types.negative\",\"&gt;\",1000],<br>\"or\",<p>[\"content_info.text_category\",\"has\",10994]]]</code><br>for more information about filters, please refer to <a href=\"/v3/content_analysis/filters\" target=\"_blank\" rel=\"noopener noreferrer\">Content Analysis API - Filters</a><br>learn more about the initial dataset filters in <a href=\"https://dataforseo.com/help-center/what-are-the-initial-dataset-filters-and-how-do-they-work\" rel=\"noopener noreferrer\" target=\"_blank\">this help center article.</a>",
-        "items": {
-          "type": [
-            "object",
-            "null"
-          ]
-        },
-        "type": [
-          "array",
-          "null"
-        ]
-      },
-      "internal_list_limit": {
-        "description": "<em>maximum number of elements within internal arrays</em><br>optional field<br>you can use this field to limit the number of elements within the following arrays:<br><code>top_domains</code><br><code>text_categories</code><br><code>page_categories</code><br><code>countries</code><br><code>languages</code><br>default value: <code>1</code><br>maximum value: <code>20</code>",
-        "type": [
-          "integer",
-          "null"
-        ]
-      },
-      "keyword": {
-        "description": "<em>target keyword</em><br><strong>required field</strong><br>UTF-8 encoding<br>the keywords will be converted to a lowercase format;<br><strong>Note</strong>: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; <br>example: <br><code>\"keyword\": \"\\\"tesla palo alto\\\"\"</code><p>learn more about rules and limitations of <code>keyword</code> and <code>keywords</code> fields in DataForSEO APIs in this <a href=\"https://dataforseo.com/help-center/rules-and-limitations-of-keyword-and-keywords-fields-in-dataforseo-apis\" rel=\"noopener noreferrer\" target=\"_blank\">Help Center article</a>",
-        "type": "string"
-      },
-      "keyword_fields": {
-        "additionalProperties": {
-          "type": [
-            "string",
-            "null"
-          ]
-        },
-        "description": "<em>target keyword fields and target keywords</em><br>optional field<br>use this parameter to filter the dataset by keywords that certain fields should contain;<br>fields you can specify: <code>title</code>, <code>main_title</code>, <code>previous_title</code>, <code>snippet</code><br>you can indicate several fields;<br><strong>Note</strong>: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; <br>example:<br><code>\"keyword_fields\": {<br>\"snippet\": \"\\\"logitech mouse\\\"\",<br>\"main_title\": \"sale\"<br>}</code>",
-        "type": [
-          "object",
-          "null"
-        ]
-      },
-      "page_type": {
-        "description": "<em>target page types</em><br>optional field<br>use this parameter to filter the dataset by page types<br>possible values: <br><code>\"ecommerce\"</code>, <code>\"news\"</code>, <code>\"blogs\"</code>, <code>\"message-boards\"</code>, <code>\"organization\"</code>",
-        "items": {
-          "type": "string"
-        },
-        "type": [
-          "array",
-          "null"
-        ]
-      },
-      "positive_connotation_threshold": {
-        "description": "<em>positive connotation threshold</em><br>optional field<br>specified as the probability index threshold for positive sentiment related to the citation content<br>if you specify this field, <code>connotation_types</code> object in the response will only contain data on citations with <code>positive</code> sentiment probability more than or equal to the specified value<br>possible values: from <code>0</code> to <code>1</code><br>default value: <code>0.4</code>",
-        "type": [
-          "number",
-          "null"
-        ]
-      },
-      "rank_scale": {
-        "description": "<em>defines the scale used for calculating and displaying the <code>rank</code> values</em><br>optional field<p>you can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale<p>possible values:<br><code>one_hundred</code> — rank values are displayed on a 0–100 scale<br><code>one_thousand</code> — rank values are displayed on a 0–1000 scale<p>default value: <code>one_thousand</code><p>learn more about how this parameter works in <a href=\"https://dataforseo.com/help-center/using-the-rank_scale-parameter-in-content-analysis-api\">this Help Center article</a>",
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "sentiments_connotation_threshold": {
-        "description": "<em>sentiment connotation threshold</em><br>optional field<br>specified as the probability index threshold for sentiment connotations related to the citation content<br>if you specify this field, <code>sentiment_connotations</code> object in the response will only contain data on citations where the <br>probability per each sentiment is more than or equal to the specified value<br>possible values: from <code>0</code> to <code>1</code><br>default value: <code>0.4</code>",
-        "type": [
-          "number",
-          "null"
-        ]
-      },
-      "tag": {
-        "description": "<em>user-defined task identifier</em><br>optional field<br><em>the character limit is 255</em><br>you can use this parameter to identify the task and match it with the result<br>you will find the specified <code>tag</code> value in the <code>data</code> object of the response",
-        "type": [
-          "string",
-          "null"
-        ]
-      }
-    },
-    "type": "object"
-  }
-]
    • addedInput schema / properties / body / items / properties
      Added value: +{
+  "initial_dataset_filters": {
+    "description": "initial dataset filtering parameters optional field initial filtering parameters that apply to fields in the Search endpoint 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, like,not_like, has, has_not you can use the % operator with like and not_like to match any string of zero or more characters example: [\"domain\",\"\", \"logitech.com\"] [[\"domain\",\"\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\">\",1000]] [[\"domain\",\"\",\"logitech.com\"]], \"and\", [[\"content_info.connotation_types.negative\",\">\",1000], \"or\", [\"content_info.text_category\",\"has\",10994]]] for more information about filters, please refer to Content Analysis API – Filters learn more about the initial dataset filters in this help center article.",
+    "items": {},
+    "type": "array"
+  },
+  "internal_list_limit": {
+    "description": "maximum number of elements within internal arrays optional field you can use this field to limit the number of elements within the following arrays: top_domains text_categories page_categories countries languages default value: 1 maximum value: 20",
+    "type": "integer"
+  },
+  "keyword": {
+    "description": "target keyword required field UTF-8 encoding the keywords will be converted to a lowercase format; Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; example: \"keyword\": \"\\\"tesla palo alto\\\"\" learn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article",
+    "type": "string"
+  },
+  "keyword_fields": {
+    "description": "target keyword fields and target keywords optional field use this parameter to filter the dataset by keywords that certain fields should contain; fields you can specify: title, main_title, previous_title, snippet you can indicate several fields; Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; example: \"keyword_fields\": { \"snippet\": \"\\\"logitech mouse\\\"\", \"main_title\": \"sale\" }",
+    "properties": {
+      "main_title": {
+        "type": "string"
+      },
+      "previous_title": {
+        "type": "string"
+      },
+      "snippet": {
+        "type": "string"
+      },
+      "title": {
+        "type": "string"
+      }
+    },
+    "type": "object"
+  },
+  "page_type": {
+    "description": "target page types optional field use this parameter to filter the dataset by page types possible values: \"ecommerce\", \"news\", \"blogs\", \"message-boards\", \"organization\"",
+    "items": {
+      "type": "string"
+    },
+    "type": "array"
+  },
+  "positive_connotation_threshold": {
+    "description": "positive connotation threshold optional field specified as the probability index threshold for positive sentiment related to the citation content if you specify this field, connotation_types object in the response will only contain data on citations with positive sentiment probability more than or equal to the specified value possible values: from 0 to 1 default value: 0.4",
+    "type": "number"
+  },
+  "rank_scale": {
+    "description": "defines the scale used for calculating and displaying the rank values optional field you can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale possible values: one_hundred — rank values are displayed on a 0–100 scale one_thousand — rank values are displayed on a 0–1000 scale default value: one_thousand learn more about how this parameter works in this Help Center article",
+    "type": "string"
+  },
+  "sentiments_connotation_threshold": {
+    "description": "sentiment connotation threshold optional field specified as the probability index threshold for sentiment connotations related to the citation content if you specify this field, sentiment_connotations object in the response will only contain data on citations where the probability per each sentiment is more than or equal to the specified value possible values: from 0 to 1 default value: 0.4",
+    "type": "number"
+  },
+  "tag": {
+    "description": "user-defined task identifier optional field the character limit is 255 you can use this parameter to identify the task and match it with the result you will find the specified tag value in the data object of the response",
+    "type": "string"
+  }
+}
    • addedInput schema / properties / body / items / required
      Added value: +[
+  "keyword"
+]
    • changedInput schema / properties / body / items / type
      Previous value: -[
-  "object",
-  "null"
-]New value: +"object"
    • changedInput schema / required
      Previous value: -[]New value: +[
+  "body"
+]
    • removedOutput schema / x-fastmcp-wrap-result
      Removed value: -true
  5. Changed7 schema fields changed
    • addedInput schema / properties / body / example
      Added value: +[
+  {
+    "internal_list_limit": 8,
+    "keyword": "logitech",
+    "page_type": [
+      "ecommerce",
+      "news",
+      "blogs",
+      "message-boards",
+      "organization"
+    ],
+    "positive_connotation_threshold": 0.5
+  }
+]
    • addedInput schema / properties / body / items / anyOf
      Added value: +[
+  {
+    "example": [
+      {
+        "internal_list_limit": 8,
+        "keyword": "logitech",
+        "page_type": [
+          "ecommerce",
+          "news",
+          "blogs",
+          "message-boards",
+          "organization"
+        ],
+        "positive_connotation_threshold": 0.5
+      }
+    ],
+    "properties": {
+      "initial_dataset_filters": {
+        "description": "<em>initial dataset filtering parameters</em><br>optional field<br>initial filtering parameters that apply to fields in the <a href=\"/v3/content_analysis/search/live/?bash\" target=\"_blank\">Search endpoint</a><br><strong>you can add several filters at once (8 filters maximum)</strong><br>you should set a logical operator <code>and</code>, <code>or</code> between the conditions<br>the following operators are supported:<br><code>regex</code>, <code>not_regex</code>, <code>&lt;</code>, <code>&lt;=</code>, <code>&gt;</code>, <code>&gt;=</code>, <code>=</code>, <code>&lt;&gt;</code>, <code>in</code>, <code>not_in</code>, <code>like</code>,<code>not_like</code>, <code>has</code>, <code>has_not</code><br>you can use the <code>%</code> operator with <code>like</code> and <code>not_like</code> to match any string of zero or more characters<br>example:<br><code>[\"domain\",\"&lt;&gt;\", \"logitech.com\"]</code><p><code>[[\"domain\",\"&lt;&gt;\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\"&gt;\",1000]]</code><p><code>[[\"domain\",\"&lt;&gt\",\"logitech.com\"]],<br>\"and\",<br>[[\"content_info.connotation_types.negative\",\"&gt;\",1000],<br>\"or\",<p>[\"content_info.text_category\",\"has\",10994]]]</code><br>for more information about filters, please refer to <a href=\"/v3/content_analysis/filters\" target=\"_blank\" rel=\"noopener noreferrer\">Content Analysis API - Filters</a><br>learn more about the initial dataset filters in <a href=\"https://dataforseo.com/help-center/what-are-the-initial-dataset-filters-and-how-do-they-work\" rel=\"noopener noreferrer\" target=\"_blank\">this help center article.</a>",
+        "items": {
+          "type": [
+            "object",
+            "null"
+          ]
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "internal_list_limit": {
+        "description": "<em>maximum number of elements within internal arrays</em><br>optional field<br>you can use this field to limit the number of elements within the following arrays:<br><code>top_domains</code><br><code>text_categories</code><br><code>page_categories</code><br><code>countries</code><br><code>languages</code><br>default value: <code>1</code><br>maximum value: <code>20</code>",
+        "type": [
+          "integer",
+          "null"
+        ]
+      },
+      "keyword": {
+        "description": "<em>target keyword</em><br><strong>required field</strong><br>UTF-8 encoding<br>the keywords will be converted to a lowercase format;<br><strong>Note</strong>: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; <br>example: <br><code>\"keyword\": \"\\\"tesla palo alto\\\"\"</code><p>learn more about rules and limitations of <code>keyword</code> and <code>keywords</code> fields in DataForSEO APIs in this <a href=\"https://dataforseo.com/help-center/rules-and-limitations-of-keyword-and-keywords-fields-in-dataforseo-apis\" rel=\"noopener noreferrer\" target=\"_blank\">Help Center article</a>",
+        "type": "string"
+      },
+      "keyword_fields": {
+        "additionalProperties": {
+          "type": [
+            "string",
+            "null"
+          ]
+        },
+        "description": "<em>target keyword fields and target keywords</em><br>optional field<br>use this parameter to filter the dataset by keywords that certain fields should contain;<br>fields you can specify: <code>title</code>, <code>main_title</code>, <code>previous_title</code>, <code>snippet</code><br>you can indicate several fields;<br><strong>Note</strong>: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; <br>example:<br><code>\"keyword_fields\": {<br>\"snippet\": \"\\\"logitech mouse\\\"\",<br>\"main_title\": \"sale\"<br>}</code>",
+        "type": [
+          "object",
+          "null"
+        ]
+      },
+      "page_type": {
+        "description": "<em>target page types</em><br>optional field<br>use this parameter to filter the dataset by page types<br>possible values: <br><code>\"ecommerce\"</code>, <code>\"news\"</code>, <code>\"blogs\"</code>, <code>\"message-boards\"</code>, <code>\"organization\"</code>",
+        "items": {
+          "type": "string"
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "positive_connotation_threshold": {
+        "description": "<em>positive connotation threshold</em><br>optional field<br>specified as the probability index threshold for positive sentiment related to the citation content<br>if you specify this field, <code>connotation_types</code> object in the response will only contain data on citations with <code>positive</code> sentiment probability more than or equal to the specified value<br>possible values: from <code>0</code> to <code>1</code><br>default value: <code>0.4</code>",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "rank_scale": {
+        "description": "<em>defines the scale used for calculating and displaying the <code>rank</code> values</em><br>optional field<p>you can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale<p>possible values:<br><code>one_hundred</code> — rank values are displayed on a 0–100 scale<br><code>one_thousand</code> — rank values are displayed on a 0–1000 scale<p>default value: <code>one_thousand</code><p>learn more about how this parameter works in <a href=\"https://dataforseo.com/help-center/using-the-rank_scale-parameter-in-content-analysis-api\">this Help Center article</a>",
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "sentiments_connotation_threshold": {
+        "description": "<em>sentiment connotation threshold</em><br>optional field<br>specified as the probability index threshold for sentiment connotations related to the citation content<br>if you specify this field, <code>sentiment_connotations</code> object in the response will only contain data on citations where the <br>probability per each sentiment is more than or equal to the specified value<br>possible values: from <code>0</code> to <code>1</code><br>default value: <code>0.4</code>",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "tag": {
+        "description": "<em>user-defined task identifier</em><br>optional field<br><em>the character limit is 255</em><br>you can use this parameter to identify the task and match it with the result<br>you will find the specified <code>tag</code> value in the <code>data</code> object of the response",
+        "type": [
+          "string",
+          "null"
+        ]
+      }
+    },
+    "type": "object"
+  }
+]
    • removedInput schema / properties / body / items / properties
      Removed value: -{
-  "initial_dataset_filters": {
-    "description": "initial dataset filtering parameters optional field initial filtering parameters that apply to fields in the Search endpoint 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, like,not_like, has, has_not you can use the % operator with like and not_like to match any string of zero or more characters example: [\"domain\",\"\", \"logitech.com\"] [[\"domain\",\"\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\">\",1000]] [[\"domain\",\"\",\"logitech.com\"]], \"and\", [[\"content_info.connotation_types.negative\",\">\",1000], \"or\", [\"content_info.text_category\",\"has\",10994]]] for more information about filters, please refer to Content Analysis API – Filters learn more about the initial dataset filters in this help center article.",
-    "items": {},
-    "type": "array"
-  },
-  "internal_list_limit": {
-    "description": "maximum number of elements within internal arrays optional field you can use this field to limit the number of elements within the following arrays: top_domains text_categories page_categories countries languages default value: 1 maximum value: 20",
-    "type": "integer"
-  },
-  "keyword": {
-    "description": "target keyword required field UTF-8 encoding the keywords will be converted to a lowercase format; Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; example: \"keyword\": \"\\\"tesla palo alto\\\"\" learn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article",
-    "type": "string"
-  },
-  "keyword_fields": {
-    "description": "target keyword fields and target keywords optional field use this parameter to filter the dataset by keywords that certain fields should contain; fields you can specify: title, main_title, previous_title, snippet you can indicate several fields; Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; example: \"keyword_fields\": { \"snippet\": \"\\\"logitech mouse\\\"\", \"main_title\": \"sale\" }",
-    "properties": {
-      "main_title": {
-        "type": "string"
-      },
-      "previous_title": {
-        "type": "string"
-      },
-      "snippet": {
-        "type": "string"
-      },
-      "title": {
-        "type": "string"
-      }
-    },
-    "type": "object"
-  },
-  "page_type": {
-    "description": "target page types optional field use this parameter to filter the dataset by page types possible values: \"ecommerce\", \"news\", \"blogs\", \"message-boards\", \"organization\"",
-    "items": {
-      "type": "string"
-    },
-    "type": "array"
-  },
-  "positive_connotation_threshold": {
-    "description": "positive connotation threshold optional field specified as the probability index threshold for positive sentiment related to the citation content if you specify this field, connotation_types object in the response will only contain data on citations with positive sentiment probability more than or equal to the specified value possible values: from 0 to 1 default value: 0.4",
-    "type": "number"
-  },
-  "rank_scale": {
-    "description": "defines the scale used for calculating and displaying the rank values optional field you can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale possible values: one_hundred — rank values are displayed on a 0–100 scale one_thousand — rank values are displayed on a 0–1000 scale default value: one_thousand learn more about how this parameter works in this Help Center article",
-    "type": "string"
-  },
-  "sentiments_connotation_threshold": {
-    "description": "sentiment connotation threshold optional field specified as the probability index threshold for sentiment connotations related to the citation content if you specify this field, sentiment_connotations object in the response will only contain data on citations where the probability per each sentiment is more than or equal to the specified value possible values: from 0 to 1 default value: 0.4",
-    "type": "number"
-  },
-  "tag": {
-    "description": "user-defined task identifier optional field the character limit is 255 you can use this parameter to identify the task and match it with the result you will find the specified tag value in the data object of the response",
-    "type": "string"
-  }
-}
    • removedInput schema / properties / body / items / required
      Removed value: -[
-  "keyword"
-]
    • changedInput schema / properties / body / items / type
      Previous value: -"object"New value: +[
+  "object",
+  "null"
+]
    • changedInput schema / required
      Previous value: -[
-  "body"
-]New value: +[]
    • addedOutput schema / x-fastmcp-wrap-result
      Added value: +true
  6. First observed

TDQS

C2.6/5.0
Behavior1/5

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

The description frames the tool as returning data ('provide you with an overview of citation data'), i.e. a retrieval operation, while the annotations declare readOnlyHint=false and destructiveHint=true. Read semantics versus a destructive-write annotation is a direct action-semantics mismatch, so per the rubric this scores 1. The one genuinely useful behavioral addition is the billing note ($0.0276 default estimate, usage-based, non-fixed), which is the only correctable signal here.

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 purpose is front-loaded in a single sentence and the pricing block is clearly demarcated, so there is no real waste. It is slightly under-specified rather than over-long, and a stray zero-width character precedes the text, but structurally it is efficient.

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?

An output schema exists, so return values need no explanation, and the billing note covers the cost dimension. What is missing for a live, billed, keyword-driven POST endpoint is any cue about required input (keyword), filtering scope, or how this differs from the other Content Analysis endpoints. Minimum viable, with clear gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema reports 0% top-level description coverage (the single 'body' array parameter itself is undocumented), and the description does not compensate at all — it never mentions the required 'keyword' field or any of the filter/threshold fields (page_type, rank_scale, internal_list_limit, connotation thresholds). The nested property descriptions in the schema do much of the work, which keeps this above 1, but the description adds nothing 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?

The description names a concrete verb and resource ('provide you with an overview of citation data available for the target keyword'), which is specific enough for an agent to know this returns aggregated Content Analysis summary metrics. However, it never distinguishes itself from близкие siblings such as post_dataforseo_content_search_live or post_dataforseo_content_sentiment_analysis_live, so the agent must infer the difference from the name alone.

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?

There is no statement of when to use this endpoint versus alternatives, no prerequisites (e.g., that a keyword must be supplied in the body), and no conditions under which a different Content Analysis endpoint is preferable. Usage is only weakly implied by 'overview ... for the target keyword'.

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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