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

Annotations already declare the tool as read-only, open-world, idempotent, and non-destructive. The description adds useful behavioral context: it fetches the page, extracts title/description/key links, and emits a single text blob. This explains what the agent can expect beyond the safety profile, such as network access and specific output structure. Not as rich as some tools but sufficient for the simple 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 two sentences plus a compact 'Useful for' list. It front-loads the primary action and output, then lists concrete use cases. No filler or repetition of schema/annotation info. Every sentence earns its place, making it easy to scan and understand quickly.

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 params and no output schema, the description is complete. It covers the tool's function, process (fetch, extract, emit), output format (text blob ready for llms.txt), and three distinct use cases. Annotations cover safety and idempotency, and the schema covers parameters. No significant gaps remain for an agent to use the tool correctly.

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%, with both url and max_links clearly documented in the schema. The description itself doesn't add parameter-specific details (e.g., default max_links=25), but the schema already covers meaning. This meets the baseline for adequate schema documentation, with no additional semantics needed from the description.

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 opens with a specific verb and resource: 'Generate a production-ready llms.txt file for any URL'. It clearly distinguishes itself from sibling tools by focusing on generating a standard file format, not just checking visibility or scanning competitors. The exact output (standard llms.txt markdown) and trigger (AI crawlers) provide clear purpose.

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?

Provides explicit use cases in the 'Useful for' list: getting a client's site indexed, drafting for own project, auditing competitor visibility. This gives clear context for when to use, but doesn't explicitly mention alternatives or exclusions, such as 'use scan_competitor_ai_presence instead for a full audit'. Slightly below a 5 due to lack of when-not guidance.

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