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AIsa SEO & AI Visibility

by one.aisa
OverviewDiscussionsAdmin

Content Analysis – Sentiment Analysis API

post_dataforseo_content_sentiment_analysis_live
Destructive

This endpoint will provide you with sentiment analysis data for the citations available for the target keyword. for more info please visit 'https://docs.dataforseo.com/v3/content_analysis/sentiment_analysis/live/?bash'

Usage-based billing; Default request estimate: $0.024 USD (not a fixed price). Account-specific pricing and final settlement may differ.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "post_dataforseo_content_sentiment_analysis_live"
  }
}

Input Schema

NameRequiredDescriptionDefault
bodyNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • removedInput schema / $defs / Provider0A3E90081762_AisaDataforseoFilterJsonValue
      Removed value: -{
-  "anyOf": [
-    {
-      "type": "string"
-    },
-    {
-      "type": "number"
-    },
-    {
-      "type": "boolean"
-    },
-    {
-      "additionalProperties": {
-        "$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 / $defs / ProviderF3207D84Cc07_AisaDataforseoFilterJsonValue
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    },
+    {
+      "additionalProperties": {
+        "$ref": "#/$defs/ProviderF3207D84Cc07_AisaDataforseoFilterJsonValue"
+      },
+      "type": [
+        "object",
+        "null"
+      ]
+    },
+    {
+      "items": {
+        "$ref": "#/$defs/ProviderF3207D84Cc07_AisaDataforseoFilterJsonValue"
+      },
+      "type": "array"
+    }
+  ],
+  "description": "JSON representation of filter values and nested expressions. Field names, operators, condition counts and operand compatibility remain provider-validated as documented for each endpoint; this is not a complete filter-language validator."
+}
    • changedInput schema / properties / body / items / anyOf
      Previous value: -[
-  {
-    "properties": {
-      "initial_dataset_filters": {
-        "description": "initial dataset filtering parameters\noptional field\ninitial filtering parameters that apply to fields in the Search endpoint\nyou can add several filters at once (8 filters maximum)\nyou should set a logical operator and, or between the conditions\nthe following operators are supported:\nregex, not_regex, <, <=, >, >=, =, <>, in, not_in, like,not_like, has, has_not, match, not_match\nyou can use the % operator with like and not_like to match any string of zero or more characters\nexample:\n[\"domain\",\"<>\", \"logitech.com\"]\n[[\"domain\",\"<>\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\">\",1000]]\n[[\"domain\",\"<>\",\"logitech.com\"]],\n\"and\",\n[[\"content_info.connotation_types.negative\",\">\",1000],\n\"or\",\n[\"content_info.text_category\",\"has\",10994]]]\nfor more information about filters, please refer to Content Analysis API – Filters\nlearn more about the initial dataset filters in this help center article.",
-        "items": {
-          "anyOf": [
-            {
-              "type": "string"
-            },
-            {
-              "type": "number"
-            },
-            {
-              "type": "boolean"
-            },
-            {
-              "additionalProperties": {
-                "$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": "maximum number of elements within internal arrays\noptional field\nyou can use this field to limit the number of elements within the following arrays:\ntop_domains\ntext_categories\npage_categories\ncountries\nlanguages\ndefault value: 1\nmaximum value: 20",
-        "type": [
-          "integer",
-          "null"
-        ]
-      },
-      "keyword": {
-        "description": "target keyword\nrequired field\nUTF-8 encoding\nthe keywords will be converted to a lowercase format;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword\": \"\\\"tesla palo alto\\\"\"\nlearn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article",
-        "type": "string"
-      },
-      "keyword_fields": {
-        "additionalProperties": {
-          "type": [
-            "string",
-            "null"
-          ]
-        },
-        "description": "target keyword fields and target keywords\noptional field\nuse this parameter to filter the dataset by keywords that certain fields should contain;\nfields you can specify: title, main_title, previous_title, snippet\nyou can indicate several fields;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword_fields\": {\n    \"snippet\": \"\\\"logitech mouse\\\"\",\n    \"main_title\": \"sale\"\n}",
-        "type": [
-          "object",
-          "null"
-        ]
-      },
-      "page_type": {
-        "description": "target page types\noptional field\nuse this parameter to filter the dataset by page types\npossible values:\n\"ecommerce\", \"news\", \"blogs\", \"message-boards\", \"organization\"",
-        "items": {
-          "type": "string"
-        },
-        "type": [
-          "array",
-          "null"
-        ]
-      },
-      "positive_connotation_threshold": {
-        "description": "positive connotation threshold\noptional field\nspecified as the probability index threshold for positive sentiment related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
-        "type": [
-          "number",
-          "null"
-        ]
-      },
-      "rank_scale": {
-        "description": "defines the scale used for calculating and displaying the rank values\noptional field\nyou can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale\npossible values:\none_hundred — rank values are displayed on a 0–100 scale\none_thousand — rank values are displayed on a 0–1000 scale\ndefault value: one_thousand\nlearn more about how this parameter works in this Help Center article",
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "sentiments_connotation_threshold": {
-        "description": "sentiment connotation threshold\noptional field\nspecified as the probability index threshold for sentiment connotations related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
-        "type": [
-          "number",
-          "null"
-        ]
-      },
-      "tag": {
-        "description": "user-defined task identifier\noptional field\nthe character limit is 255\nyou can use this parameter to identify the task and match it with the result\nyou will find the specified tag value in the data object of the response",
-        "type": [
-          "string",
-          "null"
-        ]
-      }
-    },
-    "type": "object"
-  }
-]New value: +[
+  {
+    "properties": {
+      "initial_dataset_filters": {
+        "description": "initial dataset filtering parameters\noptional field\ninitial filtering parameters that apply to fields in the Search endpoint\nyou can add several filters at once (8 filters maximum)\nyou should set a logical operator and, or between the conditions\nthe following operators are supported:\nregex, not_regex, <, <=, >, >=, =, <>, in, not_in, like,not_like, has, has_not, match, not_match\nyou can use the % operator with like and not_like to match any string of zero or more characters\nexample:\n[\"domain\",\"<>\", \"logitech.com\"]\n[[\"domain\",\"<>\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\">\",1000]]\n[[\"domain\",\"<>\",\"logitech.com\"]],\n\"and\",\n[[\"content_info.connotation_types.negative\",\">\",1000],\n\"or\",\n[\"content_info.text_category\",\"has\",10994]]]\nfor more information about filters, please refer to Content Analysis API – Filters\nlearn more about the initial dataset filters in this help center article.",
+        "items": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "number"
+            },
+            {
+              "type": "boolean"
+            },
+            {
+              "additionalProperties": {
+                "$ref": "#/$defs/ProviderF3207D84Cc07_AisaDataforseoFilterJsonValue"
+              },
+              "type": [
+                "object",
+                "null"
+              ]
+            },
+            {
+              "items": {
+                "$ref": "#/$defs/ProviderF3207D84Cc07_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": "maximum number of elements within internal arrays\noptional field\nyou can use this field to limit the number of elements within the following arrays:\ntop_domains\ntext_categories\npage_categories\ncountries\nlanguages\ndefault value: 1\nmaximum value: 20",
+        "type": [
+          "integer",
+          "null"
+        ]
+      },
+      "keyword": {
+        "description": "target keyword\nrequired field\nUTF-8 encoding\nthe keywords will be converted to a lowercase format;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword\": \"\\\"tesla palo alto\\\"\"\nlearn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article",
+        "type": "string"
+      },
+      "keyword_fields": {
+        "additionalProperties": {
+          "type": [
+            "string",
+            "null"
+          ]
+        },
+        "description": "target keyword fields and target keywords\noptional field\nuse this parameter to filter the dataset by keywords that certain fields should contain;\nfields you can specify: title, main_title, previous_title, snippet\nyou can indicate several fields;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword_fields\": {\n    \"snippet\": \"\\\"logitech mouse\\\"\",\n    \"main_title\": \"sale\"\n}",
+        "type": [
+          "object",
+          "null"
+        ]
+      },
+      "page_type": {
+        "description": "target page types\noptional field\nuse this parameter to filter the dataset by page types\npossible values:\n\"ecommerce\", \"news\", \"blogs\", \"message-boards\", \"organization\"",
+        "items": {
+          "type": "string"
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "positive_connotation_threshold": {
+        "description": "positive connotation threshold\noptional field\nspecified as the probability index threshold for positive sentiment related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "rank_scale": {
+        "description": "defines the scale used for calculating and displaying the rank values\noptional field\nyou can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale\npossible values:\none_hundred — rank values are displayed on a 0–100 scale\none_thousand — rank values are displayed on a 0–1000 scale\ndefault value: one_thousand\nlearn more about how this parameter works in this Help Center article",
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "sentiments_connotation_threshold": {
+        "description": "sentiment connotation threshold\noptional field\nspecified as the probability index threshold for sentiment connotations related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "tag": {
+        "description": "user-defined task identifier\noptional field\nthe character limit is 255\nyou can use this parameter to identify the task and match it with the result\nyou will find the specified tag value in the data object of the response",
+        "type": [
+          "string",
+          "null"
+        ]
+      }
+    },
+    "type": "object"
+  }
+]
  2. 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": "#/$defs/Provider0A3E90081762_AisaDataforseoFilterJsonValue"
+        },
+        "type": "array"
+      }
+    ],
+    "description": "JSON representation of filter values and nested expressions. Field names, operators, condition counts and operand compatibility remain provider-validated as documented for each endpoint; this is not a complete filter-language validator."
+  }
+}
    • addedInput schema / properties / body / items / anyOf
      Added value: +[
+  {
+    "properties": {
+      "initial_dataset_filters": {
+        "description": "initial dataset filtering parameters\noptional field\ninitial filtering parameters that apply to fields in the Search endpoint\nyou can add several filters at once (8 filters maximum)\nyou should set a logical operator and, or between the conditions\nthe following operators are supported:\nregex, not_regex, <, <=, >, >=, =, <>, in, not_in, like,not_like, has, has_not, match, not_match\nyou can use the % operator with like and not_like to match any string of zero or more characters\nexample:\n[\"domain\",\"<>\", \"logitech.com\"]\n[[\"domain\",\"<>\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\">\",1000]]\n[[\"domain\",\"<>\",\"logitech.com\"]],\n\"and\",\n[[\"content_info.connotation_types.negative\",\">\",1000],\n\"or\",\n[\"content_info.text_category\",\"has\",10994]]]\nfor more information about filters, please refer to Content Analysis API – Filters\nlearn more about the initial dataset filters in this help center article.",
+        "items": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "number"
+            },
+            {
+              "type": "boolean"
+            },
+            {
+              "additionalProperties": {
+                "$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": "maximum number of elements within internal arrays\noptional field\nyou can use this field to limit the number of elements within the following arrays:\ntop_domains\ntext_categories\npage_categories\ncountries\nlanguages\ndefault value: 1\nmaximum value: 20",
+        "type": [
+          "integer",
+          "null"
+        ]
+      },
+      "keyword": {
+        "description": "target keyword\nrequired field\nUTF-8 encoding\nthe keywords will be converted to a lowercase format;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword\": \"\\\"tesla palo alto\\\"\"\nlearn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article",
+        "type": "string"
+      },
+      "keyword_fields": {
+        "additionalProperties": {
+          "type": [
+            "string",
+            "null"
+          ]
+        },
+        "description": "target keyword fields and target keywords\noptional field\nuse this parameter to filter the dataset by keywords that certain fields should contain;\nfields you can specify: title, main_title, previous_title, snippet\nyou can indicate several fields;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword_fields\": {\n    \"snippet\": \"\\\"logitech mouse\\\"\",\n    \"main_title\": \"sale\"\n}",
+        "type": [
+          "object",
+          "null"
+        ]
+      },
+      "page_type": {
+        "description": "target page types\noptional field\nuse this parameter to filter the dataset by page types\npossible values:\n\"ecommerce\", \"news\", \"blogs\", \"message-boards\", \"organization\"",
+        "items": {
+          "type": "string"
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "positive_connotation_threshold": {
+        "description": "positive connotation threshold\noptional field\nspecified as the probability index threshold for positive sentiment related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "rank_scale": {
+        "description": "defines the scale used for calculating and displaying the rank values\noptional field\nyou can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale\npossible values:\none_hundred — rank values are displayed on a 0–100 scale\none_thousand — rank values are displayed on a 0–1000 scale\ndefault value: one_thousand\nlearn more about how this parameter works in this Help Center article",
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "sentiments_connotation_threshold": {
+        "description": "sentiment connotation threshold\noptional field\nspecified as the probability index threshold for sentiment connotations related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "tag": {
+        "description": "user-defined task identifier\noptional field\nthe character limit is 255\nyou can use this parameter to identify the task and match it with the result\nyou will find the specified tag value in the data object of the response",
+        "type": [
+          "string",
+          "null"
+        ]
+      }
+    },
+    "type": "object"
+  }
+]
    • removedInput schema / properties / body / items / oneOf
      Removed value: -[
-  {
-    "example": [
-      {
-        "internal_list_limit": 1,
-        "keyword": "logitech"
-      }
-    ],
-    "properties": {
-      "initial_dataset_filters": {
-        "description": "initial dataset filtering parameters\noptional field\ninitial filtering parameters that apply to fields in the Search endpoint\nyou can add several filters at once (8 filters maximum)\nyou should set a logical operator and, or between the conditions\nthe following operators are supported:\nregex, not_regex, <, <=, >, >=, =, <>, in, not_in, like,not_like, has, has_not, match, not_match\nyou can use the % operator with like and not_like to match any string of zero or more characters\nexample:\n[\"domain\",\"<>\", \"logitech.com\"]\n[[\"domain\",\"<>\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\">\",1000]]\n[[\"domain\",\"<>\",\"logitech.com\"]],\n\"and\",\n[[\"content_info.connotation_types.negative\",\">\",1000],\n\"or\",\n[\"content_info.text_category\",\"has\",10994]]]\nfor more information about filters, please refer to Content Analysis API – Filters\nlearn more about the initial dataset filters in this help center article.",
-        "items": {
-          "type": [
-            "object",
-            "null"
-          ]
-        },
-        "type": [
-          "array",
-          "null"
-        ]
-      },
-      "internal_list_limit": {
-        "description": "maximum number of elements within internal arrays\noptional field\nyou can use this field to limit the number of elements within the following arrays:\ntop_domains\ntext_categories\npage_categories\ncountries\nlanguages\ndefault value: 1\nmaximum value: 20",
-        "type": [
-          "integer",
-          "null"
-        ]
-      },
-      "keyword": {
-        "description": "target keyword\nrequired field\nUTF-8 encoding\nthe keywords will be converted to a lowercase format;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword\": \"\\\"tesla palo alto\\\"\"\nlearn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article",
-        "type": "string"
-      },
-      "keyword_fields": {
-        "additionalProperties": {
-          "type": [
-            "string",
-            "null"
-          ]
-        },
-        "description": "target keyword fields and target keywords\noptional field\nuse this parameter to filter the dataset by keywords that certain fields should contain;\nfields you can specify: title, main_title, previous_title, snippet\nyou can indicate several fields;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword_fields\": {\n    \"snippet\": \"\\\"logitech mouse\\\"\",\n    \"main_title\": \"sale\"\n}",
-        "type": [
-          "object",
-          "null"
-        ]
-      },
-      "page_type": {
-        "description": "target page types\noptional field\nuse this parameter to filter the dataset by page types\npossible values:\n\"ecommerce\", \"news\", \"blogs\", \"message-boards\", \"organization\"",
-        "items": {
-          "type": "string"
-        },
-        "type": [
-          "array",
-          "null"
-        ]
-      },
-      "positive_connotation_threshold": {
-        "description": "positive connotation threshold\noptional field\nspecified as the probability index threshold for positive sentiment related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
-        "type": [
-          "number",
-          "null"
-        ]
-      },
-      "rank_scale": {
-        "description": "defines the scale used for calculating and displaying the rank values\noptional field\nyou can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale\npossible values:\none_hundred — rank values are displayed on a 0–100 scale\none_thousand — rank values are displayed on a 0–1000 scale\ndefault value: one_thousand\nlearn more about how this parameter works in this Help Center article",
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "sentiments_connotation_threshold": {
-        "description": "sentiment connotation threshold\noptional field\nspecified as the probability index threshold for sentiment connotations related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
-        "type": [
-          "number",
-          "null"
-        ]
-      },
-      "tag": {
-        "description": "user-defined task identifier\noptional field\nthe character limit is 255\nyou can use this parameter to identify the task and match it with the result\nyou will find the specified tag value in the data object of the response",
-        "type": [
-          "string",
-          "null"
-        ]
-      }
-    },
-    "type": "object"
-  }
-]
  3. Changed2 schema fields changed
    • removedInput schema / properties / body / items / anyOf
      Removed value: -[
-  {
-    "example": [
-      {
-        "internal_list_limit": 1,
-        "keyword": "logitech"
-      }
-    ],
-    "properties": {
-      "initial_dataset_filters": {
-        "description": "initial dataset filtering parameters\noptional field\ninitial filtering parameters that apply to fields in the Search endpoint\nyou can add several filters at once (8 filters maximum)\nyou should set a logical operator and, or between the conditions\nthe following operators are supported:\nregex, not_regex, <, <=, >, >=, =, <>, in, not_in, like,not_like, has, has_not, match, not_match\nyou can use the % operator with like and not_like to match any string of zero or more characters\nexample:\n[\"domain\",\"<>\", \"logitech.com\"]\n[[\"domain\",\"<>\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\">\",1000]]\n[[\"domain\",\"<>\",\"logitech.com\"]],\n\"and\",\n[[\"content_info.connotation_types.negative\",\">\",1000],\n\"or\",\n[\"content_info.text_category\",\"has\",10994]]]\nfor more information about filters, please refer to Content Analysis API – Filters\nlearn more about the initial dataset filters in this help center article.",
-        "items": {
-          "type": [
-            "object",
-            "null"
-          ]
-        },
-        "type": [
-          "array",
-          "null"
-        ]
-      },
-      "internal_list_limit": {
-        "description": "maximum number of elements within internal arrays\noptional field\nyou can use this field to limit the number of elements within the following arrays:\ntop_domains\ntext_categories\npage_categories\ncountries\nlanguages\ndefault value: 1\nmaximum value: 20",
-        "type": [
-          "integer",
-          "null"
-        ]
-      },
-      "keyword": {
-        "description": "target keyword\nrequired field\nUTF-8 encoding\nthe keywords will be converted to a lowercase format;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword\": \"\\\"tesla palo alto\\\"\"\nlearn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article",
-        "type": "string"
-      },
-      "keyword_fields": {
-        "additionalProperties": {
-          "type": [
-            "string",
-            "null"
-          ]
-        },
-        "description": "target keyword fields and target keywords\noptional field\nuse this parameter to filter the dataset by keywords that certain fields should contain;\nfields you can specify: title, main_title, previous_title, snippet\nyou can indicate several fields;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword_fields\": {\n    \"snippet\": \"\\\"logitech mouse\\\"\",\n    \"main_title\": \"sale\"\n}",
-        "type": [
-          "object",
-          "null"
-        ]
-      },
-      "page_type": {
-        "description": "target page types\noptional field\nuse this parameter to filter the dataset by page types\npossible values:\n\"ecommerce\", \"news\", \"blogs\", \"message-boards\", \"organization\"",
-        "items": {
-          "type": "string"
-        },
-        "type": [
-          "array",
-          "null"
-        ]
-      },
-      "positive_connotation_threshold": {
-        "description": "positive connotation threshold\noptional field\nspecified as the probability index threshold for positive sentiment related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
-        "type": [
-          "number",
-          "null"
-        ]
-      },
-      "rank_scale": {
-        "description": "defines the scale used for calculating and displaying the rank values\noptional field\nyou can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale\npossible values:\none_hundred — rank values are displayed on a 0–100 scale\none_thousand — rank values are displayed on a 0–1000 scale\ndefault value: one_thousand\nlearn more about how this parameter works in this Help Center article",
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "sentiments_connotation_threshold": {
-        "description": "sentiment connotation threshold\noptional field\nspecified as the probability index threshold for sentiment connotations related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
-        "type": [
-          "number",
-          "null"
-        ]
-      },
-      "tag": {
-        "description": "user-defined task identifier\noptional field\nthe character limit is 255\nyou can use this parameter to identify the task and match it with the result\nyou will find the specified tag value in the data object of the response",
-        "type": [
-          "string",
-          "null"
-        ]
-      }
-    },
-    "type": "object"
-  }
-]
    • addedInput schema / properties / body / items / oneOf
      Added value: +[
+  {
+    "example": [
+      {
+        "internal_list_limit": 1,
+        "keyword": "logitech"
+      }
+    ],
+    "properties": {
+      "initial_dataset_filters": {
+        "description": "initial dataset filtering parameters\noptional field\ninitial filtering parameters that apply to fields in the Search endpoint\nyou can add several filters at once (8 filters maximum)\nyou should set a logical operator and, or between the conditions\nthe following operators are supported:\nregex, not_regex, <, <=, >, >=, =, <>, in, not_in, like,not_like, has, has_not, match, not_match\nyou can use the % operator with like and not_like to match any string of zero or more characters\nexample:\n[\"domain\",\"<>\", \"logitech.com\"]\n[[\"domain\",\"<>\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\">\",1000]]\n[[\"domain\",\"<>\",\"logitech.com\"]],\n\"and\",\n[[\"content_info.connotation_types.negative\",\">\",1000],\n\"or\",\n[\"content_info.text_category\",\"has\",10994]]]\nfor more information about filters, please refer to Content Analysis API – Filters\nlearn more about the initial dataset filters in this help center article.",
+        "items": {
+          "type": [
+            "object",
+            "null"
+          ]
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "internal_list_limit": {
+        "description": "maximum number of elements within internal arrays\noptional field\nyou can use this field to limit the number of elements within the following arrays:\ntop_domains\ntext_categories\npage_categories\ncountries\nlanguages\ndefault value: 1\nmaximum value: 20",
+        "type": [
+          "integer",
+          "null"
+        ]
+      },
+      "keyword": {
+        "description": "target keyword\nrequired field\nUTF-8 encoding\nthe keywords will be converted to a lowercase format;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword\": \"\\\"tesla palo alto\\\"\"\nlearn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article",
+        "type": "string"
+      },
+      "keyword_fields": {
+        "additionalProperties": {
+          "type": [
+            "string",
+            "null"
+          ]
+        },
+        "description": "target keyword fields and target keywords\noptional field\nuse this parameter to filter the dataset by keywords that certain fields should contain;\nfields you can specify: title, main_title, previous_title, snippet\nyou can indicate several fields;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword_fields\": {\n    \"snippet\": \"\\\"logitech mouse\\\"\",\n    \"main_title\": \"sale\"\n}",
+        "type": [
+          "object",
+          "null"
+        ]
+      },
+      "page_type": {
+        "description": "target page types\noptional field\nuse this parameter to filter the dataset by page types\npossible values:\n\"ecommerce\", \"news\", \"blogs\", \"message-boards\", \"organization\"",
+        "items": {
+          "type": "string"
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "positive_connotation_threshold": {
+        "description": "positive connotation threshold\noptional field\nspecified as the probability index threshold for positive sentiment related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "rank_scale": {
+        "description": "defines the scale used for calculating and displaying the rank values\noptional field\nyou can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale\npossible values:\none_hundred — rank values are displayed on a 0–100 scale\none_thousand — rank values are displayed on a 0–1000 scale\ndefault value: one_thousand\nlearn more about how this parameter works in this Help Center article",
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "sentiments_connotation_threshold": {
+        "description": "sentiment connotation threshold\noptional field\nspecified as the probability index threshold for sentiment connotations related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "tag": {
+        "description": "user-defined task identifier\noptional field\nthe character limit is 255\nyou can use this parameter to identify the task and match it with the result\nyou will find the specified tag value in the data object of the response",
+        "type": [
+          "string",
+          "null"
+        ]
+      }
+    },
+    "type": "object"
+  }
+]
  4. Changed7 schema fields changed
    • addedInput schema / properties / body / example
      Added value: +[
+  {
+    "internal_list_limit": 1,
+    "keyword": "logitech"
+  }
+]
    • addedInput schema / properties / body / items / anyOf
      Added value: +[
+  {
+    "example": [
+      {
+        "internal_list_limit": 1,
+        "keyword": "logitech"
+      }
+    ],
+    "properties": {
+      "initial_dataset_filters": {
+        "description": "initial dataset filtering parameters\noptional field\ninitial filtering parameters that apply to fields in the Search endpoint\nyou can add several filters at once (8 filters maximum)\nyou should set a logical operator and, or between the conditions\nthe following operators are supported:\nregex, not_regex, <, <=, >, >=, =, <>, in, not_in, like,not_like, has, has_not, match, not_match\nyou can use the % operator with like and not_like to match any string of zero or more characters\nexample:\n[\"domain\",\"<>\", \"logitech.com\"]\n[[\"domain\",\"<>\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\">\",1000]]\n[[\"domain\",\"<>\",\"logitech.com\"]],\n\"and\",\n[[\"content_info.connotation_types.negative\",\">\",1000],\n\"or\",\n[\"content_info.text_category\",\"has\",10994]]]\nfor more information about filters, please refer to Content Analysis API – Filters\nlearn more about the initial dataset filters in this help center article.",
+        "items": {
+          "type": [
+            "object",
+            "null"
+          ]
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "internal_list_limit": {
+        "description": "maximum number of elements within internal arrays\noptional field\nyou can use this field to limit the number of elements within the following arrays:\ntop_domains\ntext_categories\npage_categories\ncountries\nlanguages\ndefault value: 1\nmaximum value: 20",
+        "type": [
+          "integer",
+          "null"
+        ]
+      },
+      "keyword": {
+        "description": "target keyword\nrequired field\nUTF-8 encoding\nthe keywords will be converted to a lowercase format;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword\": \"\\\"tesla palo alto\\\"\"\nlearn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article",
+        "type": "string"
+      },
+      "keyword_fields": {
+        "additionalProperties": {
+          "type": [
+            "string",
+            "null"
+          ]
+        },
+        "description": "target keyword fields and target keywords\noptional field\nuse this parameter to filter the dataset by keywords that certain fields should contain;\nfields you can specify: title, main_title, previous_title, snippet\nyou can indicate several fields;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword_fields\": {\n    \"snippet\": \"\\\"logitech mouse\\\"\",\n    \"main_title\": \"sale\"\n}",
+        "type": [
+          "object",
+          "null"
+        ]
+      },
+      "page_type": {
+        "description": "target page types\noptional field\nuse this parameter to filter the dataset by page types\npossible values:\n\"ecommerce\", \"news\", \"blogs\", \"message-boards\", \"organization\"",
+        "items": {
+          "type": "string"
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "positive_connotation_threshold": {
+        "description": "positive connotation threshold\noptional field\nspecified as the probability index threshold for positive sentiment related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "rank_scale": {
+        "description": "defines the scale used for calculating and displaying the rank values\noptional field\nyou can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale\npossible values:\none_hundred — rank values are displayed on a 0–100 scale\none_thousand — rank values are displayed on a 0–1000 scale\ndefault value: one_thousand\nlearn more about how this parameter works in this Help Center article",
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "sentiments_connotation_threshold": {
+        "description": "sentiment connotation threshold\noptional field\nspecified as the probability index threshold for sentiment connotations related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "tag": {
+        "description": "user-defined task identifier\noptional field\nthe character limit is 255\nyou can use this parameter to identify the task and match it with the result\nyou will find the specified tag value in the data 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, match, not_match 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
  5. Changed7 schema fields changed
    • removedInput schema / properties / body / example
      Removed value: -[
-  {
-    "internal_list_limit": 1,
-    "keyword": "logitech"
-  }
-]
    • removedInput schema / properties / body / items / anyOf
      Removed value: -[
-  {
-    "example": [
-      {
-        "internal_list_limit": 1,
-        "keyword": "logitech"
-      }
-    ],
-    "properties": {
-      "initial_dataset_filters": {
-        "description": "initial dataset filtering parameters\noptional field\ninitial filtering parameters that apply to fields in the Search endpoint\nyou can add several filters at once (8 filters maximum)\nyou should set a logical operator and, or between the conditions\nthe following operators are supported:\nregex, not_regex, <, <=, >, >=, =, <>, in, not_in, like,not_like, has, has_not, match, not_match\nyou can use the % operator with like and not_like to match any string of zero or more characters\nexample:\n[\"domain\",\"<>\", \"logitech.com\"]\n[[\"domain\",\"<>\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\">\",1000]]\n[[\"domain\",\"<>\",\"logitech.com\"]],\n\"and\",\n[[\"content_info.connotation_types.negative\",\">\",1000],\n\"or\",\n[\"content_info.text_category\",\"has\",10994]]]\nfor more information about filters, please refer to Content Analysis API – Filters\nlearn more about the initial dataset filters in this help center article.",
-        "items": {
-          "type": [
-            "object",
-            "null"
-          ]
-        },
-        "type": [
-          "array",
-          "null"
-        ]
-      },
-      "internal_list_limit": {
-        "description": "maximum number of elements within internal arrays\noptional field\nyou can use this field to limit the number of elements within the following arrays:\ntop_domains\ntext_categories\npage_categories\ncountries\nlanguages\ndefault value: 1\nmaximum value: 20",
-        "type": [
-          "integer",
-          "null"
-        ]
-      },
-      "keyword": {
-        "description": "target keyword\nrequired field\nUTF-8 encoding\nthe keywords will be converted to a lowercase format;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword\": \"\\\"tesla palo alto\\\"\"\nlearn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article",
-        "type": "string"
-      },
-      "keyword_fields": {
-        "additionalProperties": {
-          "type": [
-            "string",
-            "null"
-          ]
-        },
-        "description": "target keyword fields and target keywords\noptional field\nuse this parameter to filter the dataset by keywords that certain fields should contain;\nfields you can specify: title, main_title, previous_title, snippet\nyou can indicate several fields;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword_fields\": {\n    \"snippet\": \"\\\"logitech mouse\\\"\",\n    \"main_title\": \"sale\"\n}",
-        "type": [
-          "object",
-          "null"
-        ]
-      },
-      "page_type": {
-        "description": "target page types\noptional field\nuse this parameter to filter the dataset by page types\npossible values:\n\"ecommerce\", \"news\", \"blogs\", \"message-boards\", \"organization\"",
-        "items": {
-          "type": "string"
-        },
-        "type": [
-          "array",
-          "null"
-        ]
-      },
-      "positive_connotation_threshold": {
-        "description": "positive connotation threshold\noptional field\nspecified as the probability index threshold for positive sentiment related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
-        "type": [
-          "number",
-          "null"
-        ]
-      },
-      "rank_scale": {
-        "description": "defines the scale used for calculating and displaying the rank values\noptional field\nyou can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale\npossible values:\none_hundred — rank values are displayed on a 0–100 scale\none_thousand — rank values are displayed on a 0–1000 scale\ndefault value: one_thousand\nlearn more about how this parameter works in this Help Center article",
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "sentiments_connotation_threshold": {
-        "description": "sentiment connotation threshold\noptional field\nspecified as the probability index threshold for sentiment connotations related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
-        "type": [
-          "number",
-          "null"
-        ]
-      },
-      "tag": {
-        "description": "user-defined task identifier\noptional field\nthe character limit is 255\nyou can use this parameter to identify the task and match it with the result\nyou will find the specified tag value in the data 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, match, not_match 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
  6. Changed7 schema fields changed
    • addedInput schema / properties / body / example
      Added value: +[
+  {
+    "internal_list_limit": 1,
+    "keyword": "logitech"
+  }
+]
    • addedInput schema / properties / body / items / anyOf
      Added value: +[
+  {
+    "example": [
+      {
+        "internal_list_limit": 1,
+        "keyword": "logitech"
+      }
+    ],
+    "properties": {
+      "initial_dataset_filters": {
+        "description": "initial dataset filtering parameters\noptional field\ninitial filtering parameters that apply to fields in the Search endpoint\nyou can add several filters at once (8 filters maximum)\nyou should set a logical operator and, or between the conditions\nthe following operators are supported:\nregex, not_regex, <, <=, >, >=, =, <>, in, not_in, like,not_like, has, has_not, match, not_match\nyou can use the % operator with like and not_like to match any string of zero or more characters\nexample:\n[\"domain\",\"<>\", \"logitech.com\"]\n[[\"domain\",\"<>\",\"logitech.com\"],\"and\",[\"content_info.connotation_types.negative\",\">\",1000]]\n[[\"domain\",\"<>\",\"logitech.com\"]],\n\"and\",\n[[\"content_info.connotation_types.negative\",\">\",1000],\n\"or\",\n[\"content_info.text_category\",\"has\",10994]]]\nfor more information about filters, please refer to Content Analysis API – Filters\nlearn more about the initial dataset filters in this help center article.",
+        "items": {
+          "type": [
+            "object",
+            "null"
+          ]
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "internal_list_limit": {
+        "description": "maximum number of elements within internal arrays\noptional field\nyou can use this field to limit the number of elements within the following arrays:\ntop_domains\ntext_categories\npage_categories\ncountries\nlanguages\ndefault value: 1\nmaximum value: 20",
+        "type": [
+          "integer",
+          "null"
+        ]
+      },
+      "keyword": {
+        "description": "target keyword\nrequired field\nUTF-8 encoding\nthe keywords will be converted to a lowercase format;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword\": \"\\\"tesla palo alto\\\"\"\nlearn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article",
+        "type": "string"
+      },
+      "keyword_fields": {
+        "additionalProperties": {
+          "type": [
+            "string",
+            "null"
+          ]
+        },
+        "description": "target keyword fields and target keywords\noptional field\nuse this parameter to filter the dataset by keywords that certain fields should contain;\nfields you can specify: title, main_title, previous_title, snippet\nyou can indicate several fields;\nNote: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;\nexample:\n\"keyword_fields\": {\n    \"snippet\": \"\\\"logitech mouse\\\"\",\n    \"main_title\": \"sale\"\n}",
+        "type": [
+          "object",
+          "null"
+        ]
+      },
+      "page_type": {
+        "description": "target page types\noptional field\nuse this parameter to filter the dataset by page types\npossible values:\n\"ecommerce\", \"news\", \"blogs\", \"message-boards\", \"organization\"",
+        "items": {
+          "type": "string"
+        },
+        "type": [
+          "array",
+          "null"
+        ]
+      },
+      "positive_connotation_threshold": {
+        "description": "positive connotation threshold\noptional field\nspecified as the probability index threshold for positive sentiment related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "rank_scale": {
+        "description": "defines the scale used for calculating and displaying the rank values\noptional field\nyou can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale\npossible values:\none_hundred — rank values are displayed on a 0–100 scale\none_thousand — rank values are displayed on a 0–1000 scale\ndefault value: one_thousand\nlearn more about how this parameter works in this Help Center article",
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "sentiments_connotation_threshold": {
+        "description": "sentiment connotation threshold\noptional field\nspecified as the probability index threshold for sentiment connotations related to the citation content\nif 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\npossible values: from 0 to 1\ndefault value: 0.4",
+        "type": [
+          "number",
+          "null"
+        ]
+      },
+      "tag": {
+        "description": "user-defined task identifier\noptional field\nthe character limit is 255\nyou can use this parameter to identify the task and match it with the result\nyou will find the specified tag value in the data 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, match, not_match 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
  7. First observed

TDQS

B3.1/5.0
Behavior3/5

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

The description adds real value by disclosing usage-based billing with a concrete estimate ($0.024 default, not fixed), which annotations do not convey. However, for a POST 'live' endpoint flagged destructiveHint=true and idempotentHint=false, it says nothing about the cost-bearing/non-idempotent nature of the call, latency, or that results arrive as a task response — leaving the annotations to carry those signals.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The purpose sentence is front-loaded and short, but the remainder is a docs pointer plus an injected pricing boilerplate block rather than substantive content. Nothing is redundant, but little earns its place beyond sentence one.

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

Completeness5/5

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 not be described. Given a single-parameter tool with an output schema and annotations, the description covers what it does and what it costs — the missing usage/parameter routing is scored elsewhere rather than double-counted here.

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?

Reported schema coverage is 0% at the top level: the single 'body' parameter has no description, and the description text says nothing about it. The nested task fields are actually documented in-schema (keyword required, thresholds, rank_scale, filters), but the description never tells the agent that body is an array of task objects requiring a keyword, so the wrapper-level gap is unmitigated.

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 specific resource and operation: sentiment analysis data for citations returned for a target keyword. That is enough for an agent to separate it from list/lookup siblings such as content_search_live, though it never explicitly contrasts with content_summary_live, which also operates on citations.

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 when-to-use guidance, no prerequisites, and no named alternative. The only routing help is a docs URL, which the agent cannot consult at selection time. The agent must infer usage purely from the tool name.

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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