Exa MCP Server

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions what the tool retrieves ('full text content, metadata, and structured information') but lacks critical behavioral details: no information about rate limits, authentication requirements, error handling, or what happens when maxCharacters is exceeded. For a web crawling tool with no annotation coverage, this leaves significant gaps in understanding operational constraints.

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 appropriately concise with two sentences that each serve a purpose: the first defines the core functionality, the second provides usage context. It's front-loaded with the main purpose. While efficient, the second sentence could be slightly more specific about the 'known URLs' distinction compared to sibling tools.

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 2 parameters with 100% schema coverage but no annotations and no output schema, the description provides adequate basic context about what the tool does. However, for a web crawling tool that likely has operational constraints (rate limits, authentication, error cases) and returns complex data, the description should ideally mention more about behavioral aspects and expected output format since there's no output schema to document return values.

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 schema already documents both parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema - it doesn't explain URL format requirements, character counting methodology, or provide examples. With complete schema coverage, the baseline score of 3 is appropriate as the description doesn't enhance parameter understanding.

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: 'Extract and crawl content from specific URLs using Exa AI - retrieves full text content, metadata, and structured information from web pages.' It specifies the verb ('extract and crawl'), resource ('content from specific URLs'), and technology ('Exa AI'). However, it doesn't explicitly distinguish this tool from sibling tools like 'web_search_exa' or 'deep_search_exa', which likely have different search/crawling approaches.

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 provides some implied usage context: 'Ideal for extracting detailed content from known URLs' suggests this tool is for targeted extraction when URLs are already identified. However, it doesn't explicitly state when NOT to use this tool or mention alternatives among the sibling tools (e.g., when to use 'web_search_exa' for broader searches vs. this tool for specific URL extraction).

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