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

Annotations already indicate readOnlyHint, idempotentHint, and non-destructive behavior. The description adds valuable context beyond annotations: it fetches the page, extracts title/description/key links, and emits a standard markdown blob. It does not mention potential limitations (e.g., JS-heavy pages), but the added detail is meaningful for a safe read operation.

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: clear action, process explanation, and use cases. Every sentence earns its place, and the most important information is front-loaded. No fluff or repetition.

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?

For a tool with two parameters, no output schema, and strong annotations, the description fully covers what the tool does, how it behaves, and when to use it. It also conveys the output format (a text blob ready for site-root) without requiring an output schema. Nothing essential is missing.

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%, with both parameters already having clear descriptions. The tool description adds little beyond what the schema provides, mentioning the default for max_links (25) which is already in the schema. It does not introduce new parameter meaning, so a baseline score of 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 clearly states the tool's function: generating a production-ready llms.txt file for any URL. It specifies the exact resource (llms.txt), the action (generate/fetch/extract/emit), and provides concrete use cases. It is distinct from all sibling tools, which focus on unrelated domains like research, betting, or jokes.

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 gives explicit use cases: getting a client's site indexed, drafting llms.txt for your own project, or auditing a competitor. It does not explicitly name alternative tools or when not to use this tool, but the context is sufficiently clear and the siblings are unrelated, so there is little ambiguity.

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