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 behavioral detail: 'Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format' and notes the output is 'a single text blob'. This goes beyond the annotations by disclosing the process and return format, with no contradiction.

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 four sentences long, all of which are informative. It front-loads the main action, then covers process, output, and use cases. There is no redundant fluff, making it appropriately 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?

For a tool with only 2 parameters and no output schema, the description covers the essential purpose, process, output format, and use cases. It does not address edge cases (e.g., JavaScript-rendered sites), but given the simple parameters and rich annotations, it is sufficiently complete for an agent to use effectively.

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 descriptive definitions for both 'url' and 'max_links'. The description mentions 'key links' which loosely relates to max_links, but it does not add meaningful detail beyond the schema. The baseline of 3 is appropriate since the schema already carries the parameter semantics.

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 a specific verb+resource: 'Generate a production-ready llms.txt file for any URL'. It also outlines the transformation process (fetch, extract, emit). However, it does not explicitly differentiate from sibling tools like scan_competitor_ai_presence, so it falls short of a 5.

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 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 provides clear context on when to use the tool, but it does not explicitly state when not to use it or mention alternative tools, preventing a 5.

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