arcade-mcp/toolkits/exa_api/arcade_exa_api/wrapper_tools/CreateResearchRequest.json
2025-10-30 12:02:59 -03:00

104 lines
3.8 KiB
JSON

{
"name": "CreateResearchRequest",
"fully_qualified_name": "ExaApi.CreateResearchRequest@0.1.0",
"description": "Create a new research request.\n\nUse this tool to initiate a new research request when you need to gather specific information or data.",
"toolkit": {
"name": "ArcadeExaApi",
"description": null,
"version": "0.1.0"
},
"input": {
"parameters": [
{
"name": "research_request_details",
"required": true,
"description": "JSON object containing details of the research request including parameters and criteria.",
"value_schema": {
"val_type": "json",
"inner_val_type": null,
"enum": null,
"properties": null,
"inner_properties": null,
"description": ""
},
"inferrable": true,
"http_endpoint_parameter_name": "requestBody"
}
]
},
"output": {
"description": "Response from the API endpoint 'ResearchController_createResearch'.",
"available_modes": [
"value",
"error",
"null"
],
"value_schema": {
"val_type": "json",
"inner_val_type": null,
"enum": null,
"properties": null,
"inner_properties": null,
"description": null
}
},
"requirements": {
"authorization": null,
"secrets": [
{
"key": "EXA_API_KEY"
}
],
"metadata": null
},
"deprecation_message": null,
"metadata": {
"object_type": "api_wrapper_tool",
"version": "1.1.0",
"description": "Tools that enable LLMs to interact directly with the exa API."
},
"http_endpoint": {
"metadata": {
"object_type": "http_endpoint",
"version": "1.2.0",
"description": ""
},
"url": "https://api.exa.ai/research/v1",
"http_method": "POST",
"headers": {},
"parameters": [
{
"name": "requestBody",
"tool_parameter_name": "research_request_details",
"description": "",
"value_schema": {
"val_type": "json",
"inner_val_type": null,
"enum": null,
"properties": null,
"inner_properties": null,
"description": ""
},
"accepted_as": "body",
"required": true,
"deprecated": false,
"default": null,
"documentation_urls": []
}
],
"documentation_urls": [],
"secrets": [
{
"arcade_key": "EXA_API_KEY",
"parameter_name": "Authorization",
"accepted_as": "header",
"formatted_value": "Bearer {authorization}",
"description": "",
"is_auth_token": false
}
],
"request_body_spec": "{\n \"required\": true,\n \"content\": {\n \"application/json\": {\n \"schema\": {\n \"type\": [\n \"object\"\n ],\n \"properties\": {\n \"model\": {\n \"default\": \"exa-research\",\n \"type\": [\n \"string\"\n ],\n \"enum\": [\n \"exa-research\",\n \"exa-research-pro\"\n ]\n },\n \"instructions\": {\n \"type\": [\n \"string\"\n ],\n \"maxLength\": 4096,\n \"description\": \"Instructions for what research should be conducted\"\n },\n \"outputSchema\": {\n \"type\": [\n \"object\"\n ],\n \"additionalProperties\": {}\n }\n },\n \"required\": [\n \"instructions\"\n ],\n \"examples\": [\n {\n \"model\": \"exa-research\",\n \"instructions\": \"What species of ant are similar to honeypot ants?\"\n }\n ]\n }\n }\n }\n}",
"use_request_body_schema_mode": false,
"validate_request_body_schema": false
}
}