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exasearchagent_exa_web_search

Perform web searches to retrieve relevant results including titles, snippets, and URLs using Exa search. Ideal for gathering up-to-date information across the web, though limited for niche topics.

Instructions

Search for webpages related to a query using Exa search. This tool performs a web search and returns relevant results including titles, snippets, and URLs. It's useful for finding up-to-date information on any topic, but may fail to find information of niche topics such like small cap crypto projects. Use this when you need to gather information from across the web.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return (default: 10)
search_termYesThe search term
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the tool 'performs a web search' and may fail for niche topics, adding useful context about reliability. However, it lacks details on rate limits, authentication needs, or error handling, which are important for a search tool with potential external dependencies.

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 appropriately sized with three sentences that are front-loaded with core functionality and include useful context. While efficient, the third sentence could be slightly more concise by combining ideas, but overall it avoids redundancy and wastes no space.

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

Completeness3/5

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

Given the tool's moderate complexity (web search with two parameters), no annotations, and no output schema, the description is partially complete. It covers purpose, usage, and limitations but lacks details on return format (beyond mentioning titles, snippets, URLs), pagination, or error responses, which would be helpful for an agent to handle results effectively.

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?

The input schema has 100% description coverage, so the schema already documents both parameters ('search_term' and 'limit') adequately. The description does not add any parameter-specific details beyond what the schema provides, such as formatting examples or advanced usage tips, resulting in a baseline score of 3.

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's purpose with a specific verb ('Search for webpages') and resource ('using Exa search'), distinguishing it from siblings like 'exasearchagent_exa_answer_question' by focusing on general web search rather than question-answering. It explicitly mentions what it returns (titles, snippets, URLs), making the function unambiguous.

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 on when to use ('when you need to gather information from across the web') and includes a limitation ('may fail to find information of niche topics such like small cap crypto projects'), which helps differentiate from more specialized tools. However, it does not explicitly name alternatives or state when not to use it, preventing a perfect score.

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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