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Automatically update tool specifications #402

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Automatically update tool specifications #402

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207 changes: 151 additions & 56 deletions tool.specs.json
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Original file line number Diff line number Diff line change
Expand Up @@ -114,6 +114,80 @@
"type": "object"
}
},
{
"description": "Fetches metadata from Arxiv based on a search query and optionally downloads PDFs.",
"env_vars": [],
"humanized_name": "Arxiv Paper Fetcher and Downloader",
"init_params_schema": {
"$defs": {
"EnvVar": {
"properties": {
"default": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Default"
},
"description": {
"title": "Description",
"type": "string"
},
"name": {
"title": "Name",
"type": "string"
},
"required": {
"default": true,
"title": "Required",
"type": "boolean"
}
},
"required": [
"name",
"description"
],
"title": "EnvVar",
"type": "object"
}
},
"additionalProperties": true,
"properties": {},
"title": "ArxivPaperTool",
"type": "object"
},
"name": "ArxivPaperTool",
"package_dependencies": [
"pydantic"
],
"run_params_schema": {
"properties": {
"max_results": {
"default": 5,
"description": "Max results to fetch; must be between 1 and 100",
"maximum": 100,
"minimum": 1,
"title": "Max Results",
"type": "integer"
},
"search_query": {
"description": "Search query for Arxiv, e.g., 'transformer neural network'",
"title": "Search Query",
"type": "string"
}
},
"required": [
"search_query"
],
"title": "ArxivToolInput",
"type": "object"
}
},
{
"description": "A tool that can be used to search the internet with a search_query.",
"env_vars": [
Expand Down Expand Up @@ -2906,62 +2980,6 @@
"run_params_schema": {
"description": "Input for MongoDBTool.",
"properties": {
"include_embeddings": {
"default": false,
"description": "Whether to include the embedding vector of each result in metadata.",
"title": "Include Embeddings",
"type": "boolean"
},
"limit": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": 4,
"description": "number of documents to return.",
"title": "Limit"
},
"oversampling_factor": {
"default": 10,
"description": "Multiple of limit used when generating number of candidates at each step in the HNSW Vector Search",
"title": "Oversampling Factor",
"type": "integer"
},
"post_filter_pipeline": {
"anyOf": [
{
"items": {
"additionalProperties": true,
"type": "object"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"description": "Pipeline of MongoDB aggregation stages to filter/process results after $vectorSearch.",
"title": "Post Filter Pipeline"
},
"pre_filter": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
],
"default": null,
"description": "List of MQL match expressions comparing an indexed field",
"title": "Pre Filter"
},
"query": {
"description": "The query to search retrieve relevant information from the MongoDB database. Pass only the query, not the question.",
"title": "Query",
Expand Down Expand Up @@ -5713,6 +5731,83 @@
"type": "object"
}
},
{
"description": "Scrapes website content using Serper's scraping API. This tool can extract clean, readable content from any website URL, optionally including markdown formatting for better structure.",
"env_vars": [
{
"default": null,
"description": "API key for Serper",
"name": "SERPER_API_KEY",
"required": true
}
],
"humanized_name": "serper_scrape_website",
"init_params_schema": {
"$defs": {
"EnvVar": {
"properties": {
"default": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Default"
},
"description": {
"title": "Description",
"type": "string"
},
"name": {
"title": "Name",
"type": "string"
},
"required": {
"default": true,
"title": "Required",
"type": "boolean"
}
},
"required": [
"name",
"description"
],
"title": "EnvVar",
"type": "object"
}
},
"properties": {},
"title": "SerperScrapeWebsiteTool",
"type": "object"
},
"name": "SerperScrapeWebsiteTool",
"package_dependencies": [],
"run_params_schema": {
"description": "Input schema for SerperScrapeWebsite.",
"properties": {
"include_markdown": {
"default": true,
"description": "Whether to include markdown formatting in the scraped content",
"title": "Include Markdown",
"type": "boolean"
},
"url": {
"description": "The URL of the website to scrape",
"title": "Url",
"type": "string"
}
},
"required": [
"url"
],
"title": "SerperScrapeWebsiteInput",
"type": "object"
}
},
{
"description": "A tool to perform to perform a job search in the US with a search_query.",
"env_vars": [
Expand Down
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