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

The description discloses that the tool performs network reads (homepage, sitemap, pages) and returns a draft plus notes on skipped items. It also explains the intentional placeholder in the output. These details go beyond the annotations (readOnlyHint, idempotentHint) to describe behavior completely.

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 and well-structured: it front-loads the action, then explains the output format, the placeholder, and the return value. No redundant sentences; all information is necessary and presented logically.

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?

The description provides enough context for an agent to understand the full workflow: what is read, what is produced, the format details, and the inclusion of a placeholder. It also notes the return of notes on skipped items. The description is complete for the tool's complexity.

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 schema already describes the 'domain' parameter with 100% coverage (e.g., example.com). The description does not add significant additional semantic value beyond what the schema provides, so it matches the baseline for full 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 function: it reads a site's homepage, sitemap or links, and up to twelve pages, then drafts an llms.txt file. The verb 'draft' and the resource 'llms.txt for a site' are specific, and the description distinguishes it from sibling tools by focusing on llms.txt 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 implicitly indicates when to use the tool (when an llms.txt draft is needed) but does not explicitly contrast it with sibling tools like growthr_scan. The purpose is clear, yet explicit selection guidance would improve this dimension slightly.

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