exasearchagent_exa_answer_question

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 effectively describes key traits: the tool performs web searches and analysis to generate answers, may fail on niche topics, and provides concise, factual responses. However, it lacks details on rate limits, authentication needs, or error handling, leaving some behavioral aspects unspecified.

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 efficiently structured in three sentences: the first states the purpose, the second provides usage guidelines, and the third adds a limitation. Each sentence adds value without redundancy, making it front-loaded and appropriately sized for the tool's complexity.

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?

Given the tool's moderate complexity (single parameter, no output schema, no annotations), the description is largely complete: it covers purpose, usage, and limitations. However, it lacks details on output format or error responses, which would be helpful for an agent to interpret results, slightly reducing completeness.

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?

The input schema has 100% description coverage, clearly documenting the single 'question' parameter. The description adds minimal semantic context beyond the schema, mentioning it's for 'specific questions' but not elaborating on format or constraints. This meets the baseline score of 3 since the schema adequately covers parameter details.

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?

The description clearly states the tool's purpose with specific verbs ('Get a direct answer') and resources ('using Exa's answer API'), distinguishing it from sibling tools like 'exasearchagent_exa_web_search' by emphasizing direct answers versus search results. It explicitly mentions the tool provides concise, factual answers by searching and analyzing web content.

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?

The description explicitly states when to use this tool ('Use this when you need a direct answer to a specific question rather than a list of search results') and provides an alternative context ('It may fail to find information of niche topics such like small cap crypto projects'), offering clear guidance on both appropriate usage and limitations.

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