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

The description transparently discloses the behavior beyond the annotations: it 'Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format.' It also describes the output as 'a single text blob ready to drop at site-root/llms.txt.' While the annotations already indicate read-only, idempotent, and non-destructive behavior, the description adds useful process and output details. It stops short of mentioning potential limitations like robots.txt enforcement or network failures, but the core behavior is well covered.

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 three sentences, each earning its place: first sentence states the primary action and benefit, second explains the process/output, third lists use cases. It is front-loaded with the verb and resource, avoids fluff, and is highly scannable for an agent.

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 simplicity (2 params, no output schema), the description is complete: it covers purpose, process, output format, and use cases. The output is explicitly described as a 'single text blob ready to drop at site-root/llms.txt', which compensates for the lack of an output schema. No critical information is missing for an agent to select and invoke 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?

The input schema already describes both parameters with 100% coverage (url and max_links). The description does not add specific semantic detail beyond the schema; it mentions 'any URL' and the output format, which indirectly relates to the url parameter, but max_links is not addressed. Per the rubric, high schema coverage means baseline 3 is appropriate.

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 explicitly states the tool's action: 'Generate a production-ready llms.txt file for any URL'. It names the specific resource (llms.txt), the target audience (AI crawlers like ChatGPT, Claude, Perplexity), and the outcome (indexing the site cleanly). This clearly distinguishes it from sibling tools, which focus on AI visibility checks or research rather than file generation.

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 three concrete use cases: 'getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.' This gives clear context for when to use the tool, though it does not explicitly mention alternatives or when not to use it. A 5 would require explicit exclusions or alternative tool references.

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