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gemini_analyze_url

Read-only

Submit a URL and a prompt to have Gemini analyze the content of YouTube videos, webpages, and articles, returning answers to your questions.

Instructions

Analyze a URL — YouTube videos, webpages, articles, etc.

Gemini can watch YouTube videos and read webpages, then answer questions about their content.

Args: url: The URL to analyze (YouTube, article, webpage, etc.). prompt: Question or instruction about the content (e.g. 'Summarize this video', 'What are the key points?'). model: Model name. Defaults to gemini-3.0-flash.

Returns: Gemini's analysis of the URL content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
promptNoSummarize this content.
modelNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

The description adds behavioral context beyond annotations by stating 'Gemini can watch YouTube videos and read webpages, then answer questions.' This clarifies the tool's capabilities (including media processing). Annotations (readOnlyHint: true, destructiveHint: false) are consistent and the description adds value without contradiction.

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

Conciseness5/5

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

The description is very concise: a two-sentence overview followed by a structured Args section. Every sentence adds value, and the most critical information (purpose and capability) is front-loaded. No unnecessary text.

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 moderate complexity and presence of an output schema, the description covers the tool's operation well (Args, returns, examples of content types). It lacks details on auth or rate limits, but annotations handle basic safety. Nearly complete for standard usage.

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

Parameters5/5

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

The description includes an Args section that explains each parameter's purpose (e.g., 'url: The URL to analyze', 'prompt: Question or instruction'), adding substantial meaning beyond the input schema's type/default information. With 0% schema description coverage, this fully compensates.

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 'Analyze a URL' and elaborates with specific examples like YouTube videos and webpages. It uses a specific verb ('analyze') and resource ('URL'), effectively distinguishing it from sibling tools like gemini_chat or gemini_generate_image.

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 provides clear context for when to use the tool (analyzing URL content) and implies it should be used instead of other tools for content analysis. However, it does not explicitly state when not to use it or mention alternatives, missing some guidance.

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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