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

The description explains the process: fetches the page, extracts title/description/links, emits markdown format. This adds behavioral context beyond the annotations (readOnlyHint, idempotentHint) which already indicate safe operation. No contradictions.

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?

Three focused sentences with no wasted words. The first sentence states purpose and outcome, the second explains the method, the third lists use cases. Front-loaded and efficient.

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?

With two parameters and no output schema, the description adequately explains input (URL, optional max_links) and output (single text blob in llms.txt format). Could mention error handling or validation, but overall covers what's needed.

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 coverage is 100%, and the description mirrors the schema's parameter descriptions without adding new meaning (e.g., 'Full URL of the site to summarize' is identical to schema). No additional semantics beyond what the schema provides.

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 defines the tool's purpose: generating a production-ready llms.txt file for any URL. It specifies the action ('generate'), the resource ('llms.txt file'), and the target ('any URL'), distinguishing it from sibling tools like scan_competitor_ai_presence.

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, drafting for own project, auditing competitors) but does not explicitly state when not to use it or suggest alternatives. Still, the context is clear and actionable.

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