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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false. The description adds behavioral context beyond annotations by explaining the process: 'Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format.' This is consistent and informative, though it could mention error handling or rate limits.

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 concise: two sentences plus a 'Useful for' list. The main purpose is front-loaded, and every sentence provides value. No redundancy or unnecessary detail.

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 has only 2 parameters, no output schema, and rich annotations, the description is complete. It explains input (any URL), process (fetch and extract), output (single text blob in standard format), and use cases. No missing critical information for an AI agent to use the tool correctly.

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 baseline is 3. The descriptions for 'url' ('Full URL of the site to summarize') and 'max_links' ('Maximum number of link entries to include (default 25, max 50)') are clear. The tool description adds minimal extra value beyond stating the output format, which is acceptable given full schema coverage.

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: 'Generate a production-ready llms.txt file for any URL so AI crawlers...can index the site cleanly.' It specifies the verb 'generate', the resource 'llms.txt file for any URL', and distinguishes itself from sibling tools like 'ai_visibility_check' and 'scan_competitor_ai_presence' which serve different functions.

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 lists three use cases: getting a client's site indexed, drafting for own project, or auditing a competitor's AI visibility. It does not explicitly state when not to use this tool or mention alternatives, but the context is clear and the sibling tools provide no direct alternative for generating llms.txt.

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