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search_nvidia

Search across NVIDIA domains to find documentation, blogs, and resources. Retrieve relevant results with citations and categorized by domain type.

Instructions

Search across multiple NVIDIA domains including developer resources, documentation, blogs, news, forums, research papers, NGC catalog, Omniverse docs, GitHub Pages, and more. This tool helps find relevant information about NVIDIA technologies, products, and services. Results include citations with URLs for reference and are categorized by domain type (documentation, blog, news, developer, build, research, catalog, forum, downloads, resources).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe search query to find information across NVIDIA domains
domainsNoOptional list of specific NVIDIA domains to search. If not provided, searches all default domains.
max_results_per_domainNoMaximum number of results to return per domain (default: 3)
min_relevance_scoreNoMinimum relevance score threshold (0-100) to filter results (default: 17)
sort_byNoSort order for results: 'relevance' (default, highest score first), 'date' (newest first), or 'domain' (alphabetical by domain)relevance
date_fromNoOptional date filter in YYYY-MM-DD format. Only include content published on or after this date.
date_toNoOptional date filter in YYYY-MM-DD format. Only include content published on or before this date.
max_total_resultsNoOptional limit on total results across all domains (after filtering and sorting)
allowed_domainsNoOptional list of domains to include. Only results from these domains will be returned.
blocked_domainsNoOptional list of domains to exclude. Results from these domains will be filtered out.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
successNoWhether the operation was successful
summaryNo
resultsNo
citationsNo
warningsNo
errorsNo
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions results include citations and categorization by domain type, but does not disclose rate limits, authentication needs, or behavior with no results. This is adequate but not thorough.

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 description is a single paragraph of about four sentences, listing domain types and result features. It is concise and front-loaded, with no unnecessary repetition, though it could be slightly tighter.

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

Completeness4/5

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

Given the tool has 10 parameters and an output schema, the description covers the key aspects: search scope, domain types, and result structure (citations, categorization). It is mostly complete for a search tool.

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

Parameters3/5

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

Schema coverage is 100%, so baseline is 3. The description adds context about the overall search scope (domains, content types), but does not significantly enhance understanding of individual parameters beyond what their descriptions provide.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool searches across multiple NVIDIA domains and lists examples, distinguishing it from the sibling 'discover_nvidia_content' which implies browsing rather than targeted search.

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

Usage Guidelines4/5

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

The description explains the tool is for finding relevant information about NVIDIA technologies, but does not explicitly state when to use it versus the sibling tool or when not to use it. However, the sibling name implies discovery, so context is clear.

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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