Exa MCP Server

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety and idempotency. The description adds valuable behavioral context beyond annotations: it specifies real-time web search capability, content scraping from URLs, and configurable result handling. However, it doesn't mention rate limits, authentication needs, or error behaviors, leaving some gaps.

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 two sentences, front-loaded with core functionality and followed by supporting features. Every sentence adds value: the first defines the tool's primary actions, and the second explains configurability and output. There is no redundant or verbose content.

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 (5 parameters, no output schema), the description is largely complete. It covers the tool's purpose, key behaviors, and output nature ('returns the content from the most relevant websites'). However, without an output schema, it could benefit from more detail on return format (e.g., structure of results, error handling) to fully compensate for the missing structured output documentation.

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%, providing detailed documentation for all 5 parameters. The description adds minimal semantic value beyond the schema, mentioning configurable result counts and relevance but not elaborating on parameter interactions or use cases. With high schema coverage, the baseline score of 3 is appropriate as the description doesn't significantly 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 with specific verbs ('search the web', 'scrape content from specific URLs') and resources ('Exa AI', 'web searches', 'URLs'). It distinguishes from the sibling tool 'get_code_context_exa' by focusing on general web search rather than code-specific context, establishing a clear functional boundary.

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 implies usage for real-time web searches and content scraping, but provides no explicit guidance on when to use this tool versus the sibling 'get_code_context_exa' or other alternatives. It mentions configurable result counts and relevance, but lacks specific scenarios, exclusions, or comparative context for tool selection.

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