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Live Claude LLM Responses

post_dataforseo_ai_claude_llm_responses_live
Destructive

‌‌ Live Claude LLM Responses endpoint allows you to retrieve structured responses from a specific Claude model, based on the input parameters.

Usage-based billing; Default request estimate: $0.0567 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. Changed1 schema field changed
    • changedInput schema / properties / body / items / oneOf
      Previous value: -[
      -  {
      -    "example": [
      -      {
      -        "max_output_tokens": 200,
      -        "message_chain": [
      -          {
      -            "message": "Hello, what’s up?",
      -            "role": "user"
      -          },
      -          {
      -            "message": "Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?",
      -            "role": "ai"
      -          }
      -        ],
      -        "model_name": "claude-opus-5",
      -        "system_message": "communicate as if we are in a business meeting",
      -        "temperature": 0.3,
      -        "user_prompt": "provide information on how relevant the amusement park business is in France now",
      -        "web_search": true,
      -        "web_search_country_iso_code": "FR"
      -      }
      -    ],
      -    "properties": {
      -      "force_web_search": {
      -        "description": "<em>force AI agent to use web search</em><br>optional field<br>to enable this parameter, <code>web_search</code> must also be enabled;<br>when enabled, the AI model is forced to access and cite current web information;<br>default value: <code>false</code>;<br><strong>Note:</strong> even if the parameter is set to <code>true</code>, there is no guarantee web sources will be cited in the response",
      -        "type": [
      -          "boolean",
      -          "null"
      -        ]
      -      },
      -      "max_output_tokens": {
      -        "description": "<em>maximum number of tokens in the AI response</em><br>optional field<br>minimum value: <code>1</code>;<br>maximum value: <code>4096</code>;<br>default value: <code>2048</code>;<br><strong>Note:</strong> if <code>web_search</code> is set to <code>true</code> or the reasoning model is specified in the request, the output token count may exceed the specified <code>max_output_tokens</code> limit<br><strong>Note #2:</strong> if <code>use_reasoning</code> is set to <code>true</code>, the minimum value for <code>max_output_tokens</code> is <code>1025</code>",
      -        "type": [
      -          "integer",
      -          "null"
      -        ]
      -      },
      -      "message_chain": {
      -        "description": "conversation history\noptional field\narray of message objects representing previous conversation turns;\neach object must contain:\nrole string with either user or ai role;\nmessage string with message content (max 500 characters);\nyou can specify maximum of 10 message objects in the array;\nNote: for Perplexity models, messages must strictly alternate between user and AI roles (user → ai);\nexample:\n\"message_chain\": [{\"role\":\"user\",\"message\":\"Hello, what’s up?\"},{\"role\":\"ai\",\"message\":\"Hello! I’m doing well, thank you. How can I assist you today?\"}]",
      -        "items": {
      -          "oneOf": [
      -            {
      -              "properties": {
      -                "message": {
      -                  "description": "message text",
      -                  "type": [
      -                    "string",
      -                    "null"
      -                  ]
      -                },
      -                "role": {
      -                  "description": "role of the user from whom the message originates",
      -                  "type": [
      -                    "string",
      -                    "null"
      -                  ]
      -                }
      -              },
      -              "type": "object"
      -            }
      -          ],
      -          "type": [
      -            "object",
      -            "null"
      -          ]
      -        },
      -        "type": [
      -          "array",
      -          "null"
      -        ]
      -      },
      -      "model_name": {
      -        "description": "<em>name of the AI model</em><br><strong>required field</strong><br><code>model_name</code >consists of the actual model name and version name;<br>if the basic model name is specified, its latest version will be set by default;<br>for example, if <code>claude-opus-4-0</code> is specified, the <code>claude-opus-4-20250514</code> will be set as <code>model_name</code> automatically;<br>you can receive the list of available LLM models by making a separate request to the <code>https://api.dataforseo.com/v3/ai_optimization/claude/llm_responses/models</code>",
      -        "type": "string"
      -      },
      -      "system_message": {
      -        "description": "<em>instructions for the AI behaviour</em><br>optional field<br>defines the AI's role, tone, or specific behavior;<br>you can specify <strong>up to 500 characters</strong> in the <code>system_message</code> field",
      -        "type": [
      -          "string",
      -          "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"
      -        ]
      -      },
      -      "temperature": {
      -        "description": "<em>randomness of the AI response</em><br>optional field<br>higher values make output more diverse; <br>lower values make output more focused;<br>minimum value: <code>0</code><br>maximum value: <code>1</code><br>default value: <code>0.7</code><p><strong>Note:</strong> <code>temperature</code> cannot be used together with <code>top_p</code> in the same request",
      -        "type": [
      -          "number",
      -          "null"
      -        ]
      -      },
      -      "top_p": {
      -        "description": "<em>diversity of the AI response</em><br>optional field <br>controls diversity of the response by limiting token selection;<br>minimum value: <code>0</code><br>maximum value: <code>1</code> <br>default value: <code>null</code><p><strong>Note:</strong> <code>top_p</code> cannot be used together with <code>temperature</code> in the same request",
      -        "type": [
      -          "number",
      -          "null"
      -        ]
      -      },
      -      "use_reasoning": {
      -        "description": "<em>enable reasoning for the AI model</em><br>optional field<br>when enabled, the model will perform reasoning before generating a response<br>refer to the <a href=\"https://docs.dataforseo.com/v3/ai_optimization/claude/llm_responses/models/\" target=\"_blank\">Models endpoint</a> for a list of models that support <code>reasoning</code><br>default value: <code>false</code><br><strong>Note:</strong> if set to <code>true</code>, the minimum value for <code>max_output_tokens</code> is <code>1025</code><br><strong>Note #2:</strong> if set to <code>true</code>, <code>force_web_search</code> must be set to <code>false</code><br><strong>Note #3:</strong> if set to <code>true</code>, the <code>temperature</code> and <code>top_p</code> cannot be used",
      -        "type": [
      -          "boolean",
      -          "null"
      -        ]
      -      },
      -      "user_prompt": {
      -        "description": "<em>prompt for the AI model</em><br><strong>required field</strong><br>the question or task you want to send to the AI model;<br>you can specify <strong>up to 500 characters</strong> in the <code>user_prompt</code> field",
      -        "type": "string"
      -      },
      -      "web_search": {
      -        "description": "<em>enable web search for current information</em><br>optional field<br>when enabled, the AI model can access and cite current web information;<br><strong>Note:</strong> refer to the <a href=\"https://docs.dataforseo.com/v3/ai_optimization/claude/llm_responses/models/\">Models endpoint</a> for a list of models that support <code>web_search</code>; <br>default value: <code>false</code>;<br>The cost of the parameter can be calculated on the <a title=\"Anthropic API Pricing\" href=\"https://docs.anthropic.com/en/docs/about-claude/pricing\" target=\"_blank\" rel=\"noopener noreferrer\">Pricing</a> page",
      -        "type": [
      -          "boolean",
      -          "null"
      -        ]
      -      },
      -      "web_search_city": {
      -        "description": "<em>city name of the location used for searching the web</em><br>optional field<br>",
      -        "type": [
      -          "string",
      -          "null"
      -        ]
      -      },
      -      "web_search_country_iso_code": {
      -        "description": "<em>ISO country code of the location used for searching the web</em><br>optional field<br>possible values: <code>'AR','AT','AU','BE','BR','CA','CH','CL','CN','DE','DK','ES','FI','FR','GB','HK','ID','IN','IT','JP','KR','MX','MY','NL','NO','NZ','PH','PL','PT','RU','SA','SE','TR','TW','US','ZA'</code>",
      -        "type": [
      -          "string",
      -          "null"
      -        ]
      -      }
      -    },
      -    "type": "object"
      -  }
      -]New value: +[
      +  {
      +    "properties": {
      +      "force_web_search": {
      +        "description": "<em>force AI agent to use web search</em><br>optional field<br>to enable this parameter, <code>web_search</code> must also be enabled;<br>when enabled, the AI model is forced to access and cite current web information;<br>default value: <code>false</code>;<br><strong>Note:</strong> even if the parameter is set to <code>true</code>, there is no guarantee web sources will be cited in the response",
      +        "type": [
      +          "boolean",
      +          "null"
      +        ]
      +      },
      +      "max_output_tokens": {
      +        "description": "<em>maximum number of tokens in the AI response</em><br>optional field<br>minimum value: <code>1</code>;<br>maximum value: <code>4096</code>;<br>default value: <code>2048</code>;<br><strong>Note:</strong> if <code>web_search</code> is set to <code>true</code> or the reasoning model is specified in the request, the output token count may exceed the specified <code>max_output_tokens</code> limit<br><strong>Note #2:</strong> if <code>use_reasoning</code> is set to <code>true</code>, the minimum value for <code>max_output_tokens</code> is <code>1025</code>",
      +        "type": [
      +          "integer",
      +          "null"
      +        ]
      +      },
      +      "message_chain": {
      +        "description": "conversation history\noptional field\narray of message objects representing previous conversation turns;\neach object must contain:\nrole string with either user or ai role;\nmessage string with message content (max 500 characters);\nyou can specify maximum of 10 message objects in the array;\nNote: for Perplexity models, messages must strictly alternate between user and AI roles (user → ai);\nexample:\n\"message_chain\": [{\"role\":\"user\",\"message\":\"Hello, what’s up?\"},{\"role\":\"ai\",\"message\":\"Hello! I’m doing well, thank you. How can I assist you today?\"}]",
      +        "items": {
      +          "oneOf": [
      +            {
      +              "properties": {
      +                "message": {
      +                  "description": "message text",
      +                  "type": [
      +                    "string",
      +                    "null"
      +                  ]
      +                },
      +                "role": {
      +                  "description": "role of the user from whom the message originates",
      +                  "type": [
      +                    "string",
      +                    "null"
      +                  ]
      +                }
      +              },
      +              "type": "object"
      +            }
      +          ],
      +          "type": [
      +            "object",
      +            "null"
      +          ]
      +        },
      +        "type": [
      +          "array",
      +          "null"
      +        ]
      +      },
      +      "model_name": {
      +        "description": "<em>name of the AI model</em><br><strong>required field</strong><br><code>model_name</code >consists of the actual model name and version name;<br>if the basic model name is specified, its latest version will be set by default;<br>for example, if <code>claude-opus-4-0</code> is specified, the <code>claude-opus-4-20250514</code> will be set as <code>model_name</code> automatically;<br>you can receive the list of available LLM models by making a separate request to the <code>https://api.dataforseo.com/v3/ai_optimization/claude/llm_responses/models</code>",
      +        "type": "string"
      +      },
      +      "system_message": {
      +        "description": "<em>instructions for the AI behaviour</em><br>optional field<br>defines the AI's role, tone, or specific behavior;<br>you can specify <strong>up to 500 characters</strong> in the <code>system_message</code> field",
      +        "type": [
      +          "string",
      +          "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"
      +        ]
      +      },
      +      "temperature": {
      +        "description": "<em>randomness of the AI response</em><br>optional field<br>higher values make output more diverse; <br>lower values make output more focused;<br>minimum value: <code>0</code><br>maximum value: <code>1</code><br>default value: <code>0.7</code><p><strong>Note:</strong> <code>temperature</code> cannot be used together with <code>top_p</code> in the same request",
      +        "type": [
      +          "number",
      +          "null"
      +        ]
      +      },
      +      "top_p": {
      +        "description": "<em>diversity of the AI response</em><br>optional field <br>controls diversity of the response by limiting token selection;<br>minimum value: <code>0</code><br>maximum value: <code>1</code> <br>default value: <code>null</code><p><strong>Note:</strong> <code>top_p</code> cannot be used together with <code>temperature</code> in the same request",
      +        "type": [
      +          "number",
      +          "null"
      +        ]
      +      },
      +      "use_reasoning": {
      +        "description": "<em>enable reasoning for the AI model</em><br>optional field<br>when enabled, the model will perform reasoning before generating a response<br>refer to the <a href=\"https://docs.dataforseo.com/v3/ai_optimization/claude/llm_responses/models/\" target=\"_blank\">Models endpoint</a> for a list of models that support <code>reasoning</code><br>default value: <code>false</code><br><strong>Note:</strong> if set to <code>true</code>, the minimum value for <code>max_output_tokens</code> is <code>1025</code><br><strong>Note #2:</strong> if set to <code>true</code>, <code>force_web_search</code> must be set to <code>false</code><br><strong>Note #3:</strong> if set to <code>true</code>, the <code>temperature</code> and <code>top_p</code> cannot be used",
      +        "type": [
      +          "boolean",
      +          "null"
      +        ]
      +      },
      +      "user_prompt": {
      +        "description": "<em>prompt for the AI model</em><br><strong>required field</strong><br>the question or task you want to send to the AI model;<br>you can specify <strong>up to 500 characters</strong> in the <code>user_prompt</code> field",
      +        "type": "string"
      +      },
      +      "web_search": {
      +        "description": "<em>enable web search for current information</em><br>optional field<br>when enabled, the AI model can access and cite current web information;<br><strong>Note:</strong> refer to the <a href=\"https://docs.dataforseo.com/v3/ai_optimization/claude/llm_responses/models/\">Models endpoint</a> for a list of models that support <code>web_search</code>; <br>default value: <code>false</code>;<br>The cost of the parameter can be calculated on the <a title=\"Anthropic API Pricing\" href=\"https://docs.anthropic.com/en/docs/about-claude/pricing\" target=\"_blank\" rel=\"noopener noreferrer\">Pricing</a> page",
      +        "type": [
      +          "boolean",
      +          "null"
      +        ]
      +      },
      +      "web_search_city": {
      +        "description": "<em>city name of the location used for searching the web</em><br>optional field<br>",
      +        "type": [
      +          "string",
      +          "null"
      +        ]
      +      },
      +      "web_search_country_iso_code": {
      +        "description": "<em>ISO country code of the location used for searching the web</em><br>optional field<br>possible values: <code>'AR','AT','AU','BE','BR','CA','CH','CL','CN','DE','DK','ES','FI','FR','GB','HK','ID','IN','IT','JP','KR','MX','MY','NL','NO','NZ','PH','PL','PT','RU','SA','SE','TR','TW','US','ZA'</code>",
      +        "type": [
      +          "string",
      +          "null"
      +        ]
      +      }
      +    },
      +    "type": "object"
      +  }
      +]
  2. Changed2 schema fields changed
    • removedInput schema / properties / body / items / anyOf
      Removed value: -[
      -  {
      -    "example": [
      -      {
      -        "max_output_tokens": 200,
      -        "message_chain": [
      -          {
      -            "message": "Hello, what’s up?",
      -            "role": "user"
      -          },
      -          {
      -            "message": "Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?",
      -            "role": "ai"
      -          }
      -        ],
      -        "model_name": "claude-opus-5",
      -        "system_message": "communicate as if we are in a business meeting",
      -        "temperature": 0.3,
      -        "user_prompt": "provide information on how relevant the amusement park business is in France now",
      -        "web_search": true,
      -        "web_search_country_iso_code": "FR"
      -      }
      -    ],
      -    "properties": {
      -      "force_web_search": {
      -        "description": "<em>force AI agent to use web search</em><br>optional field<br>to enable this parameter, <code>web_search</code> must also be enabled;<br>when enabled, the AI model is forced to access and cite current web information;<br>default value: <code>false</code>;<br><strong>Note:</strong> even if the parameter is set to <code>true</code>, there is no guarantee web sources will be cited in the response",
      -        "type": [
      -          "boolean",
      -          "null"
      -        ]
      -      },
      -      "max_output_tokens": {
      -        "description": "<em>maximum number of tokens in the AI response</em><br>optional field<br>minimum value: <code>1</code>;<br>maximum value: <code>4096</code>;<br>default value: <code>2048</code>;<br><strong>Note:</strong> if <code>web_search</code> is set to <code>true</code> or the reasoning model is specified in the request, the output token count may exceed the specified <code>max_output_tokens</code> limit<br><strong>Note #2:</strong> if <code>use_reasoning</code> is set to <code>true</code>, the minimum value for <code>max_output_tokens</code> is <code>1025</code>",
      -        "type": [
      -          "integer",
      -          "null"
      -        ]
      -      },
      -      "message_chain": {
      -        "description": "conversation history\noptional field\narray of message objects representing previous conversation turns;\neach object must contain:\nrole string with either user or ai role;\nmessage string with message content (max 500 characters);\nyou can specify maximum of 10 message objects in the array;\nNote: for Perplexity models, messages must strictly alternate between user and AI roles (user → ai);\nexample:\n\"message_chain\": [{\"role\":\"user\",\"message\":\"Hello, what’s up?\"},{\"role\":\"ai\",\"message\":\"Hello! I’m doing well, thank you. How can I assist you today?\"}]",
      -        "items": {
      -          "anyOf": [
      -            {
      -              "properties": {
      -                "message": {
      -                  "description": "message text",
      -                  "type": [
      -                    "string",
      -                    "null"
      -                  ]
      -                },
      -                "role": {
      -                  "description": "role of the user from whom the message originates",
      -                  "type": [
      -                    "string",
      -                    "null"
      -                  ]
      -                }
      -              },
      -              "type": "object"
      -            }
      -          ],
      -          "type": [
      -            "object",
      -            "null"
      -          ]
      -        },
      -        "type": [
      -          "array",
      -          "null"
      -        ]
      -      },
      -      "model_name": {
      -        "description": "<em>name of the AI model</em><br><strong>required field</strong><br><code>model_name</code >consists of the actual model name and version name;<br>if the basic model name is specified, its latest version will be set by default;<br>for example, if <code>claude-opus-4-0</code> is specified, the <code>claude-opus-4-20250514</code> will be set as <code>model_name</code> automatically;<br>you can receive the list of available LLM models by making a separate request to the <code>https://api.dataforseo.com/v3/ai_optimization/claude/llm_responses/models</code>",
      -        "type": "string"
      -      },
      -      "system_message": {
      -        "description": "<em>instructions for the AI behaviour</em><br>optional field<br>defines the AI's role, tone, or specific behavior;<br>you can specify <strong>up to 500 characters</strong> in the <code>system_message</code> field",
      -        "type": [
      -          "string",
      -          "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"
      -        ]
      -      },
      -      "temperature": {
      -        "description": "<em>randomness of the AI response</em><br>optional field<br>higher values make output more diverse; <br>lower values make output more focused;<br>minimum value: <code>0</code><br>maximum value: <code>1</code><br>default value: <code>0.7</code><p><strong>Note:</strong> <code>temperature</code> cannot be used together with <code>top_p</code> in the same request",
      -        "type": [
      -          "number",
      -          "null"
      -        ]
      -      },
      -      "top_p": {
      -        "description": "<em>diversity of the AI response</em><br>optional field <br>controls diversity of the response by limiting token selection;<br>minimum value: <code>0</code><br>maximum value: <code>1</code> <br>default value: <code>null</code><p><strong>Note:</strong> <code>top_p</code> cannot be used together with <code>temperature</code> in the same request",
      -        "type": [
      -          "number",
      -          "null"
      -        ]
      -      },
      -      "use_reasoning": {
      -        "description": "<em>enable reasoning for the AI model</em><br>optional field<br>when enabled, the model will perform reasoning before generating a response<br>refer to the <a href=\"https://docs.dataforseo.com/v3/ai_optimization/claude/llm_responses/models/\" target=\"_blank\">Models endpoint</a> for a list of models that support <code>reasoning</code><br>default value: <code>false</code><br><strong>Note:</strong> if set to <code>true</code>, the minimum value for <code>max_output_tokens</code> is <code>1025</code><br><strong>Note #2:</strong> if set to <code>true</code>, <code>force_web_search</code> must be set to <code>false</code><br><strong>Note #3:</strong> if set to <code>true</code>, the <code>temperature</code> and <code>top_p</code> cannot be used",
      -        "type": [
      -          "boolean",
      -          "null"
      -        ]
      -      },
      -      "user_prompt": {
      -        "description": "<em>prompt for the AI model</em><br><strong>required field</strong><br>the question or task you want to send to the AI model;<br>you can specify <strong>up to 500 characters</strong> in the <code>user_prompt</code> field",
      -        "type": "string"
      -      },
      -      "web_search": {
      -        "description": "<em>enable web search for current information</em><br>optional field<br>when enabled, the AI model can access and cite current web information;<br><strong>Note:</strong> refer to the <a href=\"https://docs.dataforseo.com/v3/ai_optimization/claude/llm_responses/models/\">Models endpoint</a> for a list of models that support <code>web_search</code>; <br>default value: <code>false</code>;<br>The cost of the parameter can be calculated on the <a title=\"Anthropic API Pricing\" href=\"https://docs.anthropic.com/en/docs/about-claude/pricing\" target=\"_blank\" rel=\"noopener noreferrer\">Pricing</a> page",
      -        "type": [
      -          "boolean",
      -          "null"
      -        ]
      -      },
      -      "web_search_city": {
      -        "description": "<em>city name of the location used for searching the web</em><br>optional field<br>",
      -        "type": [
      -          "string",
      -          "null"
      -        ]
      -      },
      -      "web_search_country_iso_code": {
      -        "description": "<em>ISO country code of the location used for searching the web</em><br>optional field<br>possible values: <code>'AR','AT','AU','BE','BR','CA','CH','CL','CN','DE','DK','ES','FI','FR','GB','HK','ID','IN','IT','JP','KR','MX','MY','NL','NO','NZ','PH','PL','PT','RU','SA','SE','TR','TW','US','ZA'</code>",
      -        "type": [
      -          "string",
      -          "null"
      -        ]
      -      }
      -    },
      -    "type": "object"
      -  }
      -]
    • addedInput schema / properties / body / items / oneOf
      Added value: +[
      +  {
      +    "example": [
      +      {
      +        "max_output_tokens": 200,
      +        "message_chain": [
      +          {
      +            "message": "Hello, what’s up?",
      +            "role": "user"
      +          },
      +          {
      +            "message": "Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?",
      +            "role": "ai"
      +          }
      +        ],
      +        "model_name": "claude-opus-5",
      +        "system_message": "communicate as if we are in a business meeting",
      +        "temperature": 0.3,
      +        "user_prompt": "provide information on how relevant the amusement park business is in France now",
      +        "web_search": true,
      +        "web_search_country_iso_code": "FR"
      +      }
      +    ],
      +    "properties": {
      +      "force_web_search": {
      +        "description": "<em>force AI agent to use web search</em><br>optional field<br>to enable this parameter, <code>web_search</code> must also be enabled;<br>when enabled, the AI model is forced to access and cite current web information;<br>default value: <code>false</code>;<br><strong>Note:</strong> even if the parameter is set to <code>true</code>, there is no guarantee web sources will be cited in the response",
      +        "type": [
      +          "boolean",
      +          "null"
      +        ]
      +      },
      +      "max_output_tokens": {
      +        "description": "<em>maximum number of tokens in the AI response</em><br>optional field<br>minimum value: <code>1</code>;<br>maximum value: <code>4096</code>;<br>default value: <code>2048</code>;<br><strong>Note:</strong> if <code>web_search</code> is set to <code>true</code> or the reasoning model is specified in the request, the output token count may exceed the specified <code>max_output_tokens</code> limit<br><strong>Note #2:</strong> if <code>use_reasoning</code> is set to <code>true</code>, the minimum value for <code>max_output_tokens</code> is <code>1025</code>",
      +        "type": [
      +          "integer",
      +          "null"
      +        ]
      +      },
      +      "message_chain": {
      +        "description": "conversation history\noptional field\narray of message objects representing previous conversation turns;\neach object must contain:\nrole string with either user or ai role;\nmessage string with message content (max 500 characters);\nyou can specify maximum of 10 message objects in the array;\nNote: for Perplexity models, messages must strictly alternate between user and AI roles (user → ai);\nexample:\n\"message_chain\": [{\"role\":\"user\",\"message\":\"Hello, what’s up?\"},{\"role\":\"ai\",\"message\":\"Hello! I’m doing well, thank you. How can I assist you today?\"}]",
      +        "items": {
      +          "oneOf": [
      +            {
      +              "properties": {
      +                "message": {
      +                  "description": "message text",
      +                  "type": [
      +                    "string",
      +                    "null"
      +                  ]
      +                },
      +                "role": {
      +                  "description": "role of the user from whom the message originates",
      +                  "type": [
      +                    "string",
      +                    "null"
      +                  ]
      +                }
      +              },
      +              "type": "object"
      +            }
      +          ],
      +          "type": [
      +            "object",
      +            "null"
      +          ]
      +        },
      +        "type": [
      +          "array",
      +          "null"
      +        ]
      +      },
      +      "model_name": {
      +        "description": "<em>name of the AI model</em><br><strong>required field</strong><br><code>model_name</code >consists of the actual model name and version name;<br>if the basic model name is specified, its latest version will be set by default;<br>for example, if <code>claude-opus-4-0</code> is specified, the <code>claude-opus-4-20250514</code> will be set as <code>model_name</code> automatically;<br>you can receive the list of available LLM models by making a separate request to the <code>https://api.dataforseo.com/v3/ai_optimization/claude/llm_responses/models</code>",
      +        "type": "string"
      +      },
      +      "system_message": {
      +        "description": "<em>instructions for the AI behaviour</em><br>optional field<br>defines the AI's role, tone, or specific behavior;<br>you can specify <strong>up to 500 characters</strong> in the <code>system_message</code> field",
      +        "type": [
      +          "string",
      +          "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"
      +        ]
      +      },
      +      "temperature": {
      +        "description": "<em>randomness of the AI response</em><br>optional field<br>higher values make output more diverse; <br>lower values make output more focused;<br>minimum value: <code>0</code><br>maximum value: <code>1</code><br>default value: <code>0.7</code><p><strong>Note:</strong> <code>temperature</code> cannot be used together with <code>top_p</code> in the same request",
      +        "type": [
      +          "number",
      +          "null"
      +        ]
      +      },
      +      "top_p": {
      +        "description": "<em>diversity of the AI response</em><br>optional field <br>controls diversity of the response by limiting token selection;<br>minimum value: <code>0</code><br>maximum value: <code>1</code> <br>default value: <code>null</code><p><strong>Note:</strong> <code>top_p</code> cannot be used together with <code>temperature</code> in the same request",
      +        "type": [
      +          "number",
      +          "null"
      +        ]
      +      },
      +      "use_reasoning": {
      +        "description": "<em>enable reasoning for the AI model</em><br>optional field<br>when enabled, the model will perform reasoning before generating a response<br>refer to the <a href=\"https://docs.dataforseo.com/v3/ai_optimization/claude/llm_responses/models/\" target=\"_blank\">Models endpoint</a> for a list of models that support <code>reasoning</code><br>default value: <code>false</code><br><strong>Note:</strong> if set to <code>true</code>, the minimum value for <code>max_output_tokens</code> is <code>1025</code><br><strong>Note #2:</strong> if set to <code>true</code>, <code>force_web_search</code> must be set to <code>false</code><br><strong>Note #3:</strong> if set to <code>true</code>, the <code>temperature</code> and <code>top_p</code> cannot be used",
      +        "type": [
      +          "boolean",
      +          "null"
      +        ]
      +      },
      +      "user_prompt": {
      +        "description": "<em>prompt for the AI model</em><br><strong>required field</strong><br>the question or task you want to send to the AI model;<br>you can specify <strong>up to 500 characters</strong> in the <code>user_prompt</code> field",
      +        "type": "string"
      +      },
      +      "web_search": {
      +        "description": "<em>enable web search for current information</em><br>optional field<br>when enabled, the AI model can access and cite current web information;<br><strong>Note:</strong> refer to the <a href=\"https://docs.dataforseo.com/v3/ai_optimization/claude/llm_responses/models/\">Models endpoint</a> for a list of models that support <code>web_search</code>; <br>default value: <code>false</code>;<br>The cost of the parameter can be calculated on the <a title=\"Anthropic API Pricing\" href=\"https://docs.anthropic.com/en/docs/about-claude/pricing\" target=\"_blank\" rel=\"noopener noreferrer\">Pricing</a> page",
      +        "type": [
      +          "boolean",
      +          "null"
      +        ]
      +      },
      +      "web_search_city": {
      +        "description": "<em>city name of the location used for searching the web</em><br>optional field<br>",
      +        "type": [
      +          "string",
      +          "null"
      +        ]
      +      },
      +      "web_search_country_iso_code": {
      +        "description": "<em>ISO country code of the location used for searching the web</em><br>optional field<br>possible values: <code>'AR','AT','AU','BE','BR','CA','CH','CL','CN','DE','DK','ES','FI','FR','GB','HK','ID','IN','IT','JP','KR','MX','MY','NL','NO','NZ','PH','PL','PT','RU','SA','SE','TR','TW','US','ZA'</code>",
      +        "type": [
      +          "string",
      +          "null"
      +        ]
      +      }
      +    },
      +    "type": "object"
      +  }
      +]
  3. Changed7 schema fields changed
    • addedInput schema / properties / body / example
      Added value: +[
      +  {
      +    "max_output_tokens": 200,
      +    "message_chain": [
      +      {
      +        "message": "Hello, what’s up?",
      +        "role": "user"
      +      },
      +      {
      +        "message": "Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?",
      +        "role": "ai"
      +      }
      +    ],
      +    "model_name": "claude-opus-5",
      +    "system_message": "communicate as if we are in a business meeting",
      +    "temperature": 0.3,
      +    "user_prompt": "provide information on how relevant the amusement park business is in France now",
      +    "web_search": true,
      +    "web_search_country_iso_code": "FR"
      +  }
      +]
    • addedInput schema / properties / body / items / anyOf
      Added value: +[
      +  {
      +    "example": [
      +      {
      +        "max_output_tokens": 200,
      +        "message_chain": [
      +          {
      +            "message": "Hello, what’s up?",
      +            "role": "user"
      +          },
      +          {
      +            "message": "Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?",
      +            "role": "ai"
      +          }
      +        ],
      +        "model_name": "claude-opus-5",
      +        "system_message": "communicate as if we are in a business meeting",
      +        "temperature": 0.3,
      +        "user_prompt": "provide information on how relevant the amusement park business is in France now",
      +        "web_search": true,
      +        "web_search_country_iso_code": "FR"
      +      }
      +    ],
      +    "properties": {
      +      "force_web_search": {
      +        "description": "<em>force AI agent to use web search</em><br>optional field<br>to enable this parameter, <code>web_search</code> must also be enabled;<br>when enabled, the AI model is forced to access and cite current web information;<br>default value: <code>false</code>;<br><strong>Note:</strong> even if the parameter is set to <code>true</code>, there is no guarantee web sources will be cited in the response",
      +        "type": [
      +          "boolean",
      +          "null"
      +        ]
      +      },
      +      "max_output_tokens": {
      +        "description": "<em>maximum number of tokens in the AI response</em><br>optional field<br>minimum value: <code>1</code>;<br>maximum value: <code>4096</code>;<br>default value: <code>2048</code>;<br><strong>Note:</strong> if <code>web_search</code> is set to <code>true</code> or the reasoning model is specified in the request, the output token count may exceed the specified <code>max_output_tokens</code> limit<br><strong>Note #2:</strong> if <code>use_reasoning</code> is set to <code>true</code>, the minimum value for <code>max_output_tokens</code> is <code>1025</code>",
      +        "type": [
      +          "integer",
      +          "null"
      +        ]
      +      },
      +      "message_chain": {
      +        "description": "conversation history\noptional field\narray of message objects representing previous conversation turns;\neach object must contain:\nrole string with either user or ai role;\nmessage string with message content (max 500 characters);\nyou can specify maximum of 10 message objects in the array;\nNote: for Perplexity models, messages must strictly alternate between user and AI roles (user → ai);\nexample:\n\"message_chain\": [{\"role\":\"user\",\"message\":\"Hello, what’s up?\"},{\"role\":\"ai\",\"message\":\"Hello! I’m doing well, thank you. How can I assist you today?\"}]",
      +        "items": {
      +          "anyOf": [
      +            {
      +              "properties": {
      +                "message": {
      +                  "description": "message text",
      +                  "type": [
      +                    "string",
      +                    "null"
      +                  ]
      +                },
      +                "role": {
      +                  "description": "role of the user from whom the message originates",
      +                  "type": [
      +                    "string",
      +                    "null"
      +                  ]
      +                }
      +              },
      +              "type": "object"
      +            }
      +          ],
      +          "type": [
      +            "object",
      +            "null"
      +          ]
      +        },
      +        "type": [
      +          "array",
      +          "null"
      +        ]
      +      },
      +      "model_name": {
      +        "description": "<em>name of the AI model</em><br><strong>required field</strong><br><code>model_name</code >consists of the actual model name and version name;<br>if the basic model name is specified, its latest version will be set by default;<br>for example, if <code>claude-opus-4-0</code> is specified, the <code>claude-opus-4-20250514</code> will be set as <code>model_name</code> automatically;<br>you can receive the list of available LLM models by making a separate request to the <code>https://api.dataforseo.com/v3/ai_optimization/claude/llm_responses/models</code>",
      +        "type": "string"
      +      },
      +      "system_message": {
      +        "description": "<em>instructions for the AI behaviour</em><br>optional field<br>defines the AI's role, tone, or specific behavior;<br>you can specify <strong>up to 500 characters</strong> in the <code>system_message</code> field",
      +        "type": [
      +          "string",
      +          "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"
      +        ]
      +      },
      +      "temperature": {
      +        "description": "<em>randomness of the AI response</em><br>optional field<br>higher values make output more diverse; <br>lower values make output more focused;<br>minimum value: <code>0</code><br>maximum value: <code>1</code><br>default value: <code>0.7</code><p><strong>Note:</strong> <code>temperature</code> cannot be used together with <code>top_p</code> in the same request",
      +        "type": [
      +          "number",
      +          "null"
      +        ]
      +      },
      +      "top_p": {
      +        "description": "<em>diversity of the AI response</em><br>optional field <br>controls diversity of the response by limiting token selection;<br>minimum value: <code>0</code><br>maximum value: <code>1</code> <br>default value: <code>null</code><p><strong>Note:</strong> <code>top_p</code> cannot be used together with <code>temperature</code> in the same request",
      +        "type": [
      +          "number",
      +          "null"
      +        ]
      +      },
      +      "use_reasoning": {
      +        "description": "<em>enable reasoning for the AI model</em><br>optional field<br>when enabled, the model will perform reasoning before generating a response<br>refer to the <a href=\"https://docs.dataforseo.com/v3/ai_optimization/claude/llm_responses/models/\" target=\"_blank\">Models endpoint</a> for a list of models that support <code>reasoning</code><br>default value: <code>false</code><br><strong>Note:</strong> if set to <code>true</code>, the minimum value for <code>max_output_tokens</code> is <code>1025</code><br><strong>Note #2:</strong> if set to <code>true</code>, <code>force_web_search</code> must be set to <code>false</code><br><strong>Note #3:</strong> if set to <code>true</code>, the <code>temperature</code> and <code>top_p</code> cannot be used",
      +        "type": [
      +          "boolean",
      +          "null"
      +        ]
      +      },
      +      "user_prompt": {
      +        "description": "<em>prompt for the AI model</em><br><strong>required field</strong><br>the question or task you want to send to the AI model;<br>you can specify <strong>up to 500 characters</strong> in the <code>user_prompt</code> field",
      +        "type": "string"
      +      },
      +      "web_search": {
      +        "description": "<em>enable web search for current information</em><br>optional field<br>when enabled, the AI model can access and cite current web information;<br><strong>Note:</strong> refer to the <a href=\"https://docs.dataforseo.com/v3/ai_optimization/claude/llm_responses/models/\">Models endpoint</a> for a list of models that support <code>web_search</code>; <br>default value: <code>false</code>;<br>The cost of the parameter can be calculated on the <a title=\"Anthropic API Pricing\" href=\"https://docs.anthropic.com/en/docs/about-claude/pricing\" target=\"_blank\" rel=\"noopener noreferrer\">Pricing</a> page",
      +        "type": [
      +          "boolean",
      +          "null"
      +        ]
      +      },
      +      "web_search_city": {
      +        "description": "<em>city name of the location used for searching the web</em><br>optional field<br>",
      +        "type": [
      +          "string",
      +          "null"
      +        ]
      +      },
      +      "web_search_country_iso_code": {
      +        "description": "<em>ISO country code of the location used for searching the web</em><br>optional field<br>possible values: <code>'AR','AT','AU','BE','BR','CA','CH','CL','CN','DE','DK','ES','FI','FR','GB','HK','ID','IN','IT','JP','KR','MX','MY','NL','NO','NZ','PH','PL','PT','RU','SA','SE','TR','TW','US','ZA'</code>",
      +        "type": [
      +          "string",
      +          "null"
      +        ]
      +      }
      +    },
      +    "type": "object"
      +  }
      +]
    • removedInput schema / properties / body / items / properties
      Removed value: -{
      -  "force_web_search": {
      -    "description": "force AI agent to use web search optional field to enable this parameter, web_search must also be enabled; when enabled, the AI model is forced to access and cite current web information; default value: false; Note: even if the parameter is set to true, there is no guarantee web sources will be cited in the response",
      -    "type": "boolean"
      -  },
      -  "max_output_tokens": {
      -    "description": "maximum number of tokens in the AI response optional field minimum value: 1; maximum value: 4096; default value: 2048; Note: if web_search is set to true or the reasoning model is specified in the request, the output token count may exceed the specified max_output_tokens limit Note #2: if use_reasoning is set to true, the minimum value for max_output_tokens is 1025",
      -    "type": "integer"
      -  },
      -  "message_chain": {
      -    "description": "conversation history optional field array of message objects representing previous conversation turns; each object must contain: role string with either user or ai role; message string with message content (max 500 characters); you can specify maximum of 10 message objects in the array; Note: for Perplexity models, messages must strictly alternate between user and AI roles (user → ai); example: \"message_chain\": [{\"role\":\"user\",\"message\":\"Hello, what’s up?\"},{\"role\":\"ai\",\"message\":\"Hello! I’m doing well, thank you. How can I assist you today?\"}]",
      -    "items": {
      -      "properties": {
      -        "message": {
      -          "description": "message text",
      -          "type": "string"
      -        },
      -        "role": {
      -          "description": "role of the user from whom the message originates",
      -          "enum": [
      -            "user",
      -            "ai"
      -          ],
      -          "type": "string"
      -        }
      -      },
      -      "required": [
      -        "role",
      -        "message"
      -      ],
      -      "type": "object"
      -    },
      -    "type": "array"
      -  },
      -  "model_name": {
      -    "description": "name of the AI model required field model_nameconsists of the actual model name and version name; if the basic model name is specified, its latest version will be set by default; for example, if claude-opus-4-0 is specified, the claude-opus-4-20250514 will be set as model_name automatically; you can receive the list of available LLM models by making a separate request to the https://api.dataforseo.com/v3/ai_optimization/claude/llm_responses/models",
      -    "type": "string"
      -  },
      -  "system_message": {
      -    "description": "instructions for the AI behaviour optional field defines the AI's role, tone, or specific behavior; you can specify up to 500 characters in the system_message field",
      -    "type": "string"
      -  },
      -  "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"
      -  },
      -  "temperature": {
      -    "description": "randomness of the AI response optional field higher values make output more diverse; lower values make output more focused; minimum value: 0 maximum value: 1 default value: 0.7Note: temperature cannot be used together with top_p in the same request",
      -    "type": "number"
      -  },
      -  "top_p": {
      -    "description": "diversity of the AI response optional field controls diversity of the response by limiting token selection; minimum value: 0 maximum value: 1 default value: nullNote: top_p cannot be used together with temperature in the same request",
      -    "type": "number"
      -  },
      -  "use_reasoning": {
      -    "description": "enable reasoning for the AI model optional field when enabled, the model will perform reasoning before generating a response refer to the Models endpoint for a list of models that support reasoning default value: false Note: if set to true, the minimum value for max_output_tokens is 1025 Note #2: if set to true, force_web_search must be set to false Note #3: if set to true, the temperature and top_p cannot be used",
      -    "type": "boolean"
      -  },
      -  "user_prompt": {
      -    "description": "prompt for the AI model required field the question or task you want to send to the AI model; you can specify up to 500 characters in the user_prompt field",
      -    "type": "string"
      -  },
      -  "web_search": {
      -    "description": "enable web search for current information optional field when enabled, the AI model can access and cite current web information; Note: refer to the Models endpoint for a list of models that support web_search; default value: false",
      -    "type": "boolean"
      -  },
      -  "web_search_city": {
      -    "description": "city name of the location used for searching the web optional field",
      -    "type": "string"
      -  },
      -  "web_search_country_iso_code": {
      -    "description": "ISO country code of the location used for searching the web optional field possible values: 'AR','AT','AU','BE','BR','CA','CH','CL','CN','DE','DK','ES','FI','FR','GB','HK','ID','IN','IT','JP','KR','MX','MY','NL','NO','NZ','PH','PL','PT','RU','SA','SE','TR','TW','US','ZA'",
      -    "type": "string"
      -  }
      -}
    • removedInput schema / properties / body / items / required
      Removed value: -[
      -  "user_prompt",
      -  "model_name"
      -]
    • 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: -[
      -  {
      -    "max_output_tokens": 200,
      -    "message_chain": [
      -      {
      -        "message": "Hello, what’s up?",
      -        "role": "user"
      -      },
      -      {
      -        "message": "Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?",
      -        "role": "ai"
      -      }
      -    ],
      -    "model_name": "claude-opus-4-0",
      -    "system_message": "communicate as if we are in a business meeting",
      -    "temperature": 0.3,
      -    "user_prompt": "provide information on how relevant the amusement park business is in France now",
      -    "web_search": true,
      -    "web_search_country_iso_code": "FR"
      -  }
      -]
    • removedInput schema / properties / body / items / anyOf
      Removed value: -[
      -  {
      -    "example": [
      -      {
      -        "max_output_tokens": 200,
      -        "message_chain": [
      -          {
      -            "message": "Hello, what’s up?",
      -            "role": "user"
      -          },
      -          {
      -            "message": "Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?",
      -            "role": "ai"
      -          }
      -        ],
      -        "model_name": "claude-opus-4-0",
      -        "system_message": "communicate as if we are in a business meeting",
      -        "temperature": 0.3,
      -        "user_prompt": "provide information on how relevant the amusement park business is in France now",
      -        "web_search": true,
      -        "web_search_country_iso_code": "FR"
      -      }
      -    ],
      -    "properties": {
      -      "force_web_search": {
      -        "description": "<em>force AI agent to use web search</em><br>optional field<br>to enable this parameter, <code>web_search</code> must also be enabled;<br>when enabled, the AI model is forced to access and cite current web information;<br>default value: <code>false</code>;<br><strong>Note:</strong> even if the parameter is set to <code>true</code>, there is no guarantee web sources will be cited in the response",
      -        "type": [
      -          "boolean",
      -          "null"
      -        ]
      -      },
      -      "max_output_tokens": {
      -        "description": "<em>maximum number of tokens in the AI response</em><br>optional field<br>minimum value: <code>1</code>;<br>maximum value: <code>4096</code>;<br>default value: <code>2048</code>;<br><strong>Note:</strong> if <code>web_search</code> is set to <code>true</code> or the reasoning model is specified in the request, the output token count may exceed the specified <code>max_output_tokens</code> limit<br><strong>Note #2:</strong> if <code>use_reasoning</code> is set to <code>true</code>, the minimum value for <code>max_output_tokens</code> is <code>1025</code>",
      -        "type": [
      -          "integer",
      -          "null"
      -        ]
      -      },
      -      "message_chain": {
      -        "description": "conversation history\noptional field\narray of message objects representing previous conversation turns;\neach object must contain:\nrole string with either user or ai role;\nmessage string with message content (max 500 characters);\nyou can specify maximum of 10 message objects in the array;\nNote: for Perplexity models, messages must strictly alternate between user and AI roles (user → ai);\nexample:\n\"message_chain\": [{\"role\":\"user\",\"message\":\"Hello, what’s up?\"},{\"role\":\"ai\",\"message\":\"Hello! I’m doing well, thank you. How can I assist you today?\"}]",
      -        "items": {
      -          "anyOf": [
      -            {
      -              "properties": {
      -                "message": {
      -                  "description": "message text",
      -                  "type": [
      -                    "string",
      -                    "null"
      -                  ]
      -                },
      -                "role": {
      -                  "description": "role of the user from whom the message originates",
      -                  "type": [
      -                    "string",
      -                    "null"
      -                  ]
      -                }
      -              },
      -              "type": "object"
      -            }
      -          ],
      -          "type": [
      -            "object",
      -            "null"
      -          ]
      -        },
      -        "type": [
      -          "array",
      -          "null"
      -        ]
      -      },
      -      "model_name": {
      -        "description": "<em>name of the AI model</em><br><strong>required field</strong><br><code>model_name</code >consists of the actual model name and version name;<br>if the basic model name is specified, its latest version will be set by default;<br>for example, if <code>claude-opus-4-0</code> is specified, the <code>claude-opus-4-20250514</code> will be set as <code>model_name</code> automatically;<br>you can receive the list of available LLM models by making a separate request to the <code>https://api.dataforseo.com/v3/ai_optimization/claude/llm_responses/models</code>",
      -        "type": "string"
      -      },
      -      "system_message": {
      -        "description": "<em>instructions for the AI behaviour</em><br>optional field<br>defines the AI's role, tone, or specific behavior;<br>you can specify <strong>up to 500 characters</strong> in the <code>system_message</code> field",
      -        "type": [
      -          "string",
      -          "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"
      -        ]
      -      },
      -      "temperature": {
      -        "description": "<em>randomness of the AI response</em><br>optional field<br>higher values make output more diverse; <br>lower values make output more focused;<br>minimum value: <code>0</code><br>maximum value: <code>1</code><br>default value: <code>0.7</code><p><strong>Note:</strong> <code>temperature</code> cannot be used together with <code>top_p</code> in the same request",
      -        "type": [
      -          "number",
      -          "null"
      -        ]
      -      },
      -      "top_p": {
      -        "description": "<em>diversity of the AI response</em><br>optional field <br>controls diversity of the response by limiting token selection;<br>minimum value: <code>0</code><br>maximum value: <code>1</code> <br>default value: <code>null</code><p><strong>Note:</strong> <code>top_p</code> cannot be used together with <code>temperature</code> in the same request",
      -        "type": [
      -          "number",
      -          "null"
      -        ]
      -      },
      -      "use_reasoning": {
      -        "description": "<em>enable reasoning for the AI model</em><br>optional field<br>when enabled, the model will perform reasoning before generating a response<br>refer to the <a href=\"https://docs.dataforseo.com/v3/ai_optimization/claude/llm_responses/models/\" target=\"_blank\">Models endpoint</a> for a list of models that support <code>reasoning</code><br>default value: <code>false</code><br><strong>Note:</strong> if set to <code>true</code>, the minimum value for <code>max_output_tokens</code> is <code>1025</code><br><strong>Note #2:</strong> if set to <code>true</code>, <code>force_web_search</code> must be set to <code>false</code><br><strong>Note #3:</strong> if set to <code>true</code>, the <code>temperature</code> and <code>top_p</code> cannot be used",
      -        "type": [
      -          "boolean",
      -          "null"
      -        ]
      -      },
      -      "user_prompt": {
      -        "description": "<em>prompt for the AI model</em><br><strong>required field</strong><br>the question or task you want to send to the AI model;<br>you can specify <strong>up to 500 characters</strong> in the <code>user_prompt</code> field",
      -        "type": "string"
      -      },
      -      "web_search": {
      -        "description": "<em>enable web search for current information</em><br>optional field<br>when enabled, the AI model can access and cite current web information;<br><strong>Note:</strong> refer to the <a href=\"https://docs.dataforseo.com/v3/ai_optimization/claude/llm_responses/models/\">Models endpoint</a> for a list of models that support <code>web_search</code>; <br>default value: <code>false</code>;<br>The cost of the parameter can be calculated on the <a title=\"Anthropic API Pricing\" href=\"https://docs.anthropic.com/en/docs/about-claude/pricing\" target=\"_blank\" rel=\"noopener noreferrer\">Pricing</a> page",
      -        "type": [
      -          "boolean",
      -          "null"
      -        ]
      -      },
      -      "web_search_city": {
      -        "description": "<em>city name of the location used for searching the web</em><br>optional field<br>",
      -        "type": [
      -          "string",
      -          "null"
      -        ]
      -      },
      -      "web_search_country_iso_code": {
      -        "description": "<em>ISO country code of the location used for searching the web</em><br>optional field<br>possible values: <code>'AR','AT','AU','BE','BR','CA','CH','CL','CN','DE','DK','ES','FI','FR','GB','HK','ID','IN','IT','JP','KR','MX','MY','NL','NO','NZ','PH','PL','PT','RU','SA','SE','TR','TW','US','ZA'</code>",
      -        "type": [
      -          "string",
      -          "null"
      -        ]
      -      }
      -    },
      -    "type": "object"
      -  }
      -]
    • addedInput schema / properties / body / items / properties
      Added value: +{
      +  "force_web_search": {
      +    "description": "force AI agent to use web search optional field to enable this parameter, web_search must also be enabled; when enabled, the AI model is forced to access and cite current web information; default value: false; Note: even if the parameter is set to true, there is no guarantee web sources will be cited in the response",
      +    "type": "boolean"
      +  },
      +  "max_output_tokens": {
      +    "description": "maximum number of tokens in the AI response optional field minimum value: 1; maximum value: 4096; default value: 2048; Note: if web_search is set to true or the reasoning model is specified in the request, the output token count may exceed the specified max_output_tokens limit Note #2: if use_reasoning is set to true, the minimum value for max_output_tokens is 1025",
      +    "type": "integer"
      +  },
      +  "message_chain": {
      +    "description": "conversation history optional field array of message objects representing previous conversation turns; each object must contain: role string with either user or ai role; message string with message content (max 500 characters); you can specify maximum of 10 message objects in the array; Note: for Perplexity models, messages must strictly alternate between user and AI roles (user → ai); example: \"message_chain\": [{\"role\":\"user\",\"message\":\"Hello, what’s up?\"},{\"role\":\"ai\",\"message\":\"Hello! I’m doing well, thank you. How can I assist you today?\"}]",
      +    "items": {
      +      "properties": {
      +        "message": {
      +          "description": "message text",
      +          "type": "string"
      +        },
      +        "role": {
      +          "description": "role of the user from whom the message originates",
      +          "enum": [
      +            "user",
      +            "ai"
      +          ],
      +          "type": "string"
      +        }
      +      },
      +      "required": [
      +        "role",
      +        "message"
      +      ],
      +      "type": "object"
      +    },
      +    "type": "array"
      +  },
      +  "model_name": {
      +    "description": "name of the AI model required field model_nameconsists of the actual model name and version name; if the basic model name is specified, its latest version will be set by default; for example, if claude-opus-4-0 is specified, the claude-opus-4-20250514 will be set as model_name automatically; you can receive the list of available LLM models by making a separate request to the https://api.dataforseo.com/v3/ai_optimization/claude/llm_responses/models",
      +    "type": "string"
      +  },
      +  "system_message": {
      +    "description": "instructions for the AI behaviour optional field defines the AI's role, tone, or specific behavior; you can specify up to 500 characters in the system_message field",
      +    "type": "string"
      +  },
      +  "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"
      +  },
      +  "temperature": {
      +    "description": "randomness of the AI response optional field higher values make output more diverse; lower values make output more focused; minimum value: 0 maximum value: 1 default value: 0.7Note: temperature cannot be used together with top_p in the same request",
      +    "type": "number"
      +  },
      +  "top_p": {
      +    "description": "diversity of the AI response optional field controls diversity of the response by limiting token selection; minimum value: 0 maximum value: 1 default value: nullNote: top_p cannot be used together with temperature in the same request",
      +    "type": "number"
      +  },
      +  "use_reasoning": {
      +    "description": "enable reasoning for the AI model optional field when enabled, the model will perform reasoning before generating a response refer to the Models endpoint for a list of models that support reasoning default value: false Note: if set to true, the minimum value for max_output_tokens is 1025 Note #2: if set to true, force_web_search must be set to false Note #3: if set to true, the temperature and top_p cannot be used",
      +    "type": "boolean"
      +  },
      +  "user_prompt": {
      +    "description": "prompt for the AI model required field the question or task you want to send to the AI model; you can specify up to 500 characters in the user_prompt field",
      +    "type": "string"
      +  },
      +  "web_search": {
      +    "description": "enable web search for current information optional field when enabled, the AI model can access and cite current web information; Note: refer to the Models endpoint for a list of models that support web_search; default value: false",
      +    "type": "boolean"
      +  },
      +  "web_search_city": {
      +    "description": "city name of the location used for searching the web optional field",
      +    "type": "string"
      +  },
      +  "web_search_country_iso_code": {
      +    "description": "ISO country code of the location used for searching the web optional field possible values: 'AR','AT','AU','BE','BR','CA','CH','CL','CN','DE','DK','ES','FI','FR','GB','HK','ID','IN','IT','JP','KR','MX','MY','NL','NO','NZ','PH','PL','PT','RU','SA','SE','TR','TW','US','ZA'",
      +    "type": "string"
      +  }
      +}
    • addedInput schema / properties / body / items / required
      Added value: +[
      +  "user_prompt",
      +  "model_name"
      +]
    • 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: +[
      +  {
      +    "max_output_tokens": 200,
      +    "message_chain": [
      +      {
      +        "message": "Hello, what’s up?",
      +        "role": "user"
      +      },
      +      {
      +        "message": "Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?",
      +        "role": "ai"
      +      }
      +    ],
      +    "model_name": "claude-opus-4-0",
      +    "system_message": "communicate as if we are in a business meeting",
      +    "temperature": 0.3,
      +    "user_prompt": "provide information on how relevant the amusement park business is in France now",
      +    "web_search": true,
      +    "web_search_country_iso_code": "FR"
      +  }
      +]
    • addedInput schema / properties / body / items / anyOf
      Added value: +[
      +  {
      +    "example": [
      +      {
      +        "max_output_tokens": 200,
      +        "message_chain": [
      +          {
      +            "message": "Hello, what’s up?",
      +            "role": "user"
      +          },
      +          {
      +            "message": "Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?",
      +            "role": "ai"
      +          }
      +        ],
      +        "model_name": "claude-opus-4-0",
      +        "system_message": "communicate as if we are in a business meeting",
      +        "temperature": 0.3,
      +        "user_prompt": "provide information on how relevant the amusement park business is in France now",
      +        "web_search": true,
      +        "web_search_country_iso_code": "FR"
      +      }
      +    ],
      +    "properties": {
      +      "force_web_search": {
      +        "description": "<em>force AI agent to use web search</em><br>optional field<br>to enable this parameter, <code>web_search</code> must also be enabled;<br>when enabled, the AI model is forced to access and cite current web information;<br>default value: <code>false</code>;<br><strong>Note:</strong> even if the parameter is set to <code>true</code>, there is no guarantee web sources will be cited in the response",
      +        "type": [
      +          "boolean",
      +          "null"
      +        ]
      +      },
      +      "max_output_tokens": {
      +        "description": "<em>maximum number of tokens in the AI response</em><br>optional field<br>minimum value: <code>1</code>;<br>maximum value: <code>4096</code>;<br>default value: <code>2048</code>;<br><strong>Note:</strong> if <code>web_search</code> is set to <code>true</code> or the reasoning model is specified in the request, the output token count may exceed the specified <code>max_output_tokens</code> limit<br><strong>Note #2:</strong> if <code>use_reasoning</code> is set to <code>true</code>, the minimum value for <code>max_output_tokens</code> is <code>1025</code>",
      +        "type": [
      +          "integer",
      +          "null"
      +        ]
      +      },
      +      "message_chain": {
      +        "description": "conversation history\noptional field\narray of message objects representing previous conversation turns;\neach object must contain:\nrole string with either user or ai role;\nmessage string with message content (max 500 characters);\nyou can specify maximum of 10 message objects in the array;\nNote: for Perplexity models, messages must strictly alternate between user and AI roles (user → ai);\nexample:\n\"message_chain\": [{\"role\":\"user\",\"message\":\"Hello, what’s up?\"},{\"role\":\"ai\",\"message\":\"Hello! I’m doing well, thank you. How can I assist you today?\"}]",
      +        "items": {
      +          "anyOf": [
      +            {
      +              "properties": {
      +                "message": {
      +                  "description": "message text",
      +                  "type": [
      +                    "string",
      +                    "null"
      +                  ]
      +                },
      +                "role": {
      +                  "description": "role of the user from whom the message originates",
      +                  "type": [
      +                    "string",
      +                    "null"
      +                  ]
      +                }
      +              },
      +              "type": "object"
      +            }
      +          ],
      +          "type": [
      +            "object",
      +            "null"
      +          ]
      +        },
      +        "type": [
      +          "array",
      +          "null"
      +        ]
      +      },
      +      "model_name": {
      +        "description": "<em>name of the AI model</em><br><strong>required field</strong><br><code>model_name</code >consists of the actual model name and version name;<br>if the basic model name is specified, its latest version will be set by default;<br>for example, if <code>claude-opus-4-0</code> is specified, the <code>claude-opus-4-20250514</code> will be set as <code>model_name</code> automatically;<br>you can receive the list of available LLM models by making a separate request to the <code>https://api.dataforseo.com/v3/ai_optimization/claude/llm_responses/models</code>",
      +        "type": "string"
      +      },
      +      "system_message": {
      +        "description": "<em>instructions for the AI behaviour</em><br>optional field<br>defines the AI's role, tone, or specific behavior;<br>you can specify <strong>up to 500 characters</strong> in the <code>system_message</code> field",
      +        "type": [
      +          "string",
      +          "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"
      +        ]
      +      },
      +      "temperature": {
      +        "description": "<em>randomness of the AI response</em><br>optional field<br>higher values make output more diverse; <br>lower values make output more focused;<br>minimum value: <code>0</code><br>maximum value: <code>1</code><br>default value: <code>0.7</code><p><strong>Note:</strong> <code>temperature</code> cannot be used together with <code>top_p</code> in the same request",
      +        "type": [
      +          "number",
      +          "null"
      +        ]
      +      },
      +      "top_p": {
      +        "description": "<em>diversity of the AI response</em><br>optional field <br>controls diversity of the response by limiting token selection;<br>minimum value: <code>0</code><br>maximum value: <code>1</code> <br>default value: <code>null</code><p><strong>Note:</strong> <code>top_p</code> cannot be used together with <code>temperature</code> in the same request",
      +        "type": [
      +          "number",
      +          "null"
      +        ]
      +      },
      +      "use_reasoning": {
      +        "description": "<em>enable reasoning for the AI model</em><br>optional field<br>when enabled, the model will perform reasoning before generating a response<br>refer to the <a href=\"https://docs.dataforseo.com/v3/ai_optimization/claude/llm_responses/models/\" target=\"_blank\">Models endpoint</a> for a list of models that support <code>reasoning</code><br>default value: <code>false</code><br><strong>Note:</strong> if set to <code>true</code>, the minimum value for <code>max_output_tokens</code> is <code>1025</code><br><strong>Note #2:</strong> if set to <code>true</code>, <code>force_web_search</code> must be set to <code>false</code><br><strong>Note #3:</strong> if set to <code>true</code>, the <code>temperature</code> and <code>top_p</code> cannot be used",
      +        "type": [
      +          "boolean",
      +          "null"
      +        ]
      +      },
      +      "user_prompt": {
      +        "description": "<em>prompt for the AI model</em><br><strong>required field</strong><br>the question or task you want to send to the AI model;<br>you can specify <strong>up to 500 characters</strong> in the <code>user_prompt</code> field",
      +        "type": "string"
      +      },
      +      "web_search": {
      +        "description": "<em>enable web search for current information</em><br>optional field<br>when enabled, the AI model can access and cite current web information;<br><strong>Note:</strong> refer to the <a href=\"https://docs.dataforseo.com/v3/ai_optimization/claude/llm_responses/models/\">Models endpoint</a> for a list of models that support <code>web_search</code>; <br>default value: <code>false</code>;<br>The cost of the parameter can be calculated on the <a title=\"Anthropic API Pricing\" href=\"https://docs.anthropic.com/en/docs/about-claude/pricing\" target=\"_blank\" rel=\"noopener noreferrer\">Pricing</a> page",
      +        "type": [
      +          "boolean",
      +          "null"
      +        ]
      +      },
      +      "web_search_city": {
      +        "description": "<em>city name of the location used for searching the web</em><br>optional field<br>",
      +        "type": [
      +          "string",
      +          "null"
      +        ]
      +      },
      +      "web_search_country_iso_code": {
      +        "description": "<em>ISO country code of the location used for searching the web</em><br>optional field<br>possible values: <code>'AR','AT','AU','BE','BR','CA','CH','CL','CN','DE','DK','ES','FI','FR','GB','HK','ID','IN','IT','JP','KR','MX','MY','NL','NO','NZ','PH','PL','PT','RU','SA','SE','TR','TW','US','ZA'</code>",
      +        "type": [
      +          "string",
      +          "null"
      +        ]
      +      }
      +    },
      +    "type": "object"
      +  }
      +]
    • removedInput schema / properties / body / items / properties
      Removed value: -{
      -  "force_web_search": {
      -    "description": "force AI agent to use web search optional field to enable this parameter, web_search must also be enabled; when enabled, the AI model is forced to access and cite current web information; default value: false; Note: even if the parameter is set to true, there is no guarantee web sources will be cited in the response",
      -    "type": "boolean"
      -  },
      -  "max_output_tokens": {
      -    "description": "maximum number of tokens in the AI response optional field minimum value: 1; maximum value: 4096; default value: 2048; Note: if web_search is set to true or the reasoning model is specified in the request, the output token count may exceed the specified max_output_tokens limit Note #2: if use_reasoning is set to true, the minimum value for max_output_tokens is 1025",
      -    "type": "integer"
      -  },
      -  "message_chain": {
      -    "description": "conversation history optional field array of message objects representing previous conversation turns; each object must contain: role string with either user or ai role; message string with message content (max 500 characters); you can specify maximum of 10 message objects in the array; Note: for Perplexity models, messages must strictly alternate between user and AI roles (user → ai); example: \"message_chain\": [{\"role\":\"user\",\"message\":\"Hello, what’s up?\"},{\"role\":\"ai\",\"message\":\"Hello! I’m doing well, thank you. How can I assist you today?\"}]",
      -    "items": {
      -      "properties": {
      -        "message": {
      -          "description": "message text",
      -          "type": "string"
      -        },
      -        "role": {
      -          "description": "role of the user from whom the message originates",
      -          "enum": [
      -            "user",
      -            "ai"
      -          ],
      -          "type": "string"
      -        }
      -      },
      -      "required": [
      -        "role",
      -        "message"
      -      ],
      -      "type": "object"
      -    },
      -    "type": "array"
      -  },
      -  "model_name": {
      -    "description": "name of the AI model required field model_nameconsists of the actual model name and version name; if the basic model name is specified, its latest version will be set by default; for example, if claude-opus-4-0 is specified, the claude-opus-4-20250514 will be set as model_name automatically; you can receive the list of available LLM models by making a separate request to the https://api.dataforseo.com/v3/ai_optimization/claude/llm_responses/models",
      -    "type": "string"
      -  },
      -  "system_message": {
      -    "description": "instructions for the AI behaviour optional field defines the AI's role, tone, or specific behavior; you can specify up to 500 characters in the system_message field",
      -    "type": "string"
      -  },
      -  "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"
      -  },
      -  "temperature": {
      -    "description": "randomness of the AI response optional field higher values make output more diverse; lower values make output more focused; minimum value: 0 maximum value: 1 default value: 0.7Note: temperature cannot be used together with top_p in the same request",
      -    "type": "number"
      -  },
      -  "top_p": {
      -    "description": "diversity of the AI response optional field controls diversity of the response by limiting token selection; minimum value: 0 maximum value: 1 default value: nullNote: top_p cannot be used together with temperature in the same request",
      -    "type": "number"
      -  },
      -  "use_reasoning": {
      -    "description": "enable reasoning for the AI model optional field when enabled, the model will perform reasoning before generating a response refer to the Models endpoint for a list of models that support reasoning default value: false Note: if set to true, the minimum value for max_output_tokens is 1025 Note #2: if set to true, force_web_search must be set to false Note #3: if set to true, the temperature and top_p cannot be used",
      -    "type": "boolean"
      -  },
      -  "user_prompt": {
      -    "description": "prompt for the AI model required field the question or task you want to send to the AI model; you can specify up to 500 characters in the user_prompt field",
      -    "type": "string"
      -  },
      -  "web_search": {
      -    "description": "enable web search for current information optional field when enabled, the AI model can access and cite current web information; Note: refer to the Models endpoint for a list of models that support web_search; default value: false",
      -    "type": "boolean"
      -  },
      -  "web_search_city": {
      -    "description": "city name of the location used for searching the web optional field",
      -    "type": "string"
      -  },
      -  "web_search_country_iso_code": {
      -    "description": "ISO country code of the location used for searching the web optional field possible values: 'AR','AT','AU','BE','BR','CA','CH','CL','CN','DE','DK','ES','FI','FR','GB','HK','ID','IN','IT','JP','KR','MX','MY','NL','NO','NZ','PH','PL','PT','RU','SA','SE','TR','TW','US','ZA'",
      -    "type": "string"
      -  }
      -}
    • removedInput schema / properties / body / items / required
      Removed value: -[
      -  "user_prompt",
      -  "model_name"
      -]
    • 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. Changed1 schema field changed
    • changedInput schema / properties / body / items / properties / web_search / description
      Previous value: -"enable web search for current information optional field when enabled, the AI model can access and cite current web information; Note: refer to the Models endpoint for a list of models that support web_search; default value: false; The cost of the parameter can be calculated on the Pricing page"New value: +"enable web search for current information optional field when enabled, the AI model can access and cite current web information; Note: refer to the Models endpoint for a list of models that support web_search; default value: false"
  7. Changed5 schema fields changed
    • changedInput schema / properties / body / items / properties / message_chain / description
      Previous value: -"conversation history optional field array of message objects representing previous conversation turns; each object must contain role and message parameters: role string with either user or ai role; message string with message content (max 500 characters); you can specify the maximum of 10 message objects in the array; example: \"message_chain\": [{\"role\":\"user\",\"message\":\"Hello, what’s up?\"},{\"role\":\"ai\",\"message\":\"Hello! I’m doing well, thank you. How can I assist you today?\"}]"New value: +"conversation history optional field array of message objects representing previous conversation turns; each object must contain: role string with either user or ai role; message string with message content (max 500 characters); you can specify maximum of 10 message objects in the array; Note: for Perplexity models, messages must strictly alternate between user and AI roles (user → ai); example: \"message_chain\": [{\"role\":\"user\",\"message\":\"Hello, what’s up?\"},{\"role\":\"ai\",\"message\":\"Hello! I’m doing well, thank you. How can I assist you today?\"}]"
    • addedInput schema / properties / body / items / properties / message_chain / items / properties / message / description
      Added value: +"message text"
    • addedInput schema / properties / body / items / properties / message_chain / items / properties / role / description
      Added value: +"role of the user from whom the message originates"
    • changedInput schema / properties / body / items / properties / web_search_city / description
      Previous value: -"city name of the location optional field Note: specify web_search_country_iso_code to use this parameter"New value: +"city name of the location used for searching the web optional field"
    • changedInput schema / properties / body / items / properties / web_search_country_iso_code / description
      Previous value: -"ISO country code of the location optional field possible values: 'AR','AT','AU','BE','BR','CA','CH','CL','CN','DE','DK','ES','FI','FR','GB','HK','ID','IN','IT','JP','KR','MX','MY','NL','NO','NZ','PH','PL','PT','RU','SA','SE','TR','TW','US','ZA'"New value: +"ISO country code of the location used for searching the web optional field possible values: 'AR','AT','AU','BE','BR','CA','CH','CL','CN','DE','DK','ES','FI','FR','GB','HK','ID','IN','IT','JP','KR','MX','MY','NL','NO','NZ','PH','PL','PT','RU','SA','SE','TR','TW','US','ZA'"
  8. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already carry the safety profile (readOnlyHint=false, destructiveHint=true, openWorldHint=true, idempotentHint=false), and the description adds genuinely useful cost context via the billing estimate. However, it never explains why this POST is flagged destructive/non-idempotent, nor describes latency, async behavior, or rate limits – it also gives no hint that the request requires a model lookup first.

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 core sentence is front-loaded and tight. The appended pricing comment block is boilerplate, but it is short and clearly delimited, so it does not obscure the purpose statement.

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

Completeness2/5

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

An output schema exists so return values need not be explained, but for a nested, constraint-heavy request body the description is far too thin. It omits the required-field expectation (model_name, user_prompt are marked required in the schema), the 500-character prompts, the 10-message chain cap, and the models-listing endpoint the agent must call to resolve valid model names.

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 description coverage is 0% at the top level (the single 'body' array parameter), and the description compensates with nothing beyond the generic phrase 'based on the input parameters'. No mention of model_name, user_prompt, message_chain limits, or the temperature/top_p mutual exclusion, all of which the caller must get right.

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?

States a specific verb and resource ('retrieve structured responses from a specific Claude model'), which distinguishes it from the ChatGPT, Gemini, and Perplexity siblings that share the same naming pattern. It is clear but does not explicitly call out how it differs from those alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative-selection guidance is given. Given three sibling LLM-response endpoints with identical shapes, the description gives the agent no basis for choosing between them beyond the model name in 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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