Extract, process, or summarize web content from URLs. Use when you need to read page content, summarize articles, crawl sites, or extract structured data. Providers: tavily (content extraction), kagi (summarization of pages/videos/podcasts), firecrawl (scraping/crawling/mapping/structured extraction/interactive), exa (content retrieval/similar pages).

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds provider capability context (e.g., firecrawl for scraping/crawling/interactive, kagi for summarization). However, the mention of 'exa' as a provider is misleading because the input schema's provider enum omits exa, creating uncertainty about available behavior.

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

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

The description is compact, front-loads the purpose, and packs useful provider information into a short list. Minor redundancy ('process' with 'extract') and the misleading exa reference are the only blemishes; overall it earns its length.

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

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

For a 9-parameter tool with 5 enums and provider-specific modes, the description is too thin. It does not explain how to choose a provider for a given task, what the different modes do relative to providers, or how to handle edge cases like exa's absence from the provider enum. There is no output schema, and the description gives no hint about return value shapes, so an agent would likely need to infer provider-mode compatibility.

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

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

Schema description coverage is 100%, so the parameters are fully documented in the schema. The description adds value by loosely mapping providers to capabilities (e.g., kagi for summarization, firecrawl for scraping), which helps select provider and mode. But it introduces a conflict by listing exa although the provider enum does not include it, and it does not explain the relationship between provider and mode beyond the parentheticals.

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

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

Tautological: description restates name/title.

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

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

It provides explicit 'Use when...' conditions covering the main scenarios, and the provider list gives a starting point for mode selection. It does not state when not to use this tool or point to alternatives like web_search or ai_search, so it lacks explicit exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.