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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds value by disclosing that it fetches the page, extracts specific elements, and emits a markdown blob, which are behavioral traits not covered by the annotations. It doesn't mention error handling or edge cases, but given the strong annotation coverage, a 4 is appropriate.

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, front-loaded with the core purpose, followed by process details and use cases. It contains no fluff or redundant information, making it concise and well-structured.

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 well-documented params, strong annotations, no output schema), the description adequately covers what the tool does, how it works, and when to use it. The output format is specified ('single text blob'), making this complete for its scope.

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?

Both parameters (url and max_links) have complete descriptions in the schema, achieving 100% coverage. The tool description adds little new meaning about parameters—it mostly restates what the schema already says (e.g., 'any URL'). With high schema coverage, the baseline is 3, and the description does not elevate it further.

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 generates a 'production-ready llms.txt file' for any URL, and explains the process: 'Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format.' This specific verb-resource combination distinguishes it from siblings like ai_visibility_check or 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 includes a 'Useful for:' section listing three concrete scenarios (client indexing, drafting for own project, competitor auditing), which provides clear context on when to use it. However, it does not explicitly state when not to use it or name alternative tools, so it falls short of a 5.

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