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 valuable behavioral detail beyond these: it fetches the page, extracts specific elements, emits standard llms.txt markdown, and returns a single text blob. This goes beyond the annotations but does not discuss potential caveats like rate limits or network failures, which keeps it from a 5.

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 informative without being overly long. It front-loads the main action, then explains the process and output, and closes with use cases. Every sentence contributes value, though the 'Useful for' list could arguably be tightened. It is structured well for scanning.

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, strong annotations, and no output schema, the description is highly complete. It explains the input (URL), the extraction logic, the output format, and the target location (site-root/llms.txt). None of this is required by the structured fields, so the description fully covers the tool's behavior and result.

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 description coverage is 100%, so the schema already fully documents both parameters (url and max_links) with descriptions and defaults. The description adds no additional parameter-specific meaning beyond what the schema provides, so the 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 a specific verb and resource: 'Generate a production-ready llms.txt file for any URL'. It also outlines the process ('Fetches the page, extracts title/description/key links') and the output format, making the tool's purpose unmistakable. The unique resource (llms.txt) distinguishes it from sibling tools like ai_visibility_check.

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 'Useful for:' section provides explicit context for when to use the tool: client site indexing, personal project drafting, and competitor auditing. This gives clear usage guidance, though it does not explicitly mention alternatives or when not to use it.

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