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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behaviors: the transformation process ('extracts and transforms'), the algorithm used ('Mozilla's Readability algorithm'), what gets removed ('ads, navigation, footers and non-essential elements'), and what is preserved ('core content structure'). However, it doesn't mention potential limitations like rate limits, authentication needs, or error conditions.

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 appropriately sized and front-loaded, with two sentences that efficiently convey the tool's purpose, output, and key behavioral traits. Every sentence adds value without redundancy, making it easy to understand at a glance.

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 moderate complexity (single parameter, no output schema, no annotations), the description is largely complete. It explains what the tool does, how it processes content, and what it returns. However, without an output schema, it could benefit from more detail on the return structure (e.g., format of the Markdown), and it lacks information on error handling or edge cases.

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?

The schema description coverage is 100%, with the parameter 'url' clearly documented as 'The website URL to parse'. The description doesn't add any additional meaning or context about the parameter beyond what the schema provides, such as URL format requirements or examples. With high schema coverage, 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 the tool's purpose with specific verbs ('extracts and transforms') and resources ('webpage content'), specifying the output format ('clean, LLM-optimized Markdown') and what it returns ('article title, main content, excerpt, byline and site name'). It distinguishes itself by mentioning the algorithm used ('Mozilla's Readability algorithm') and what it removes ('ads, navigation, footers and non-essential elements').

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 implies usage for extracting structured content from webpages, but does not explicitly state when to use this tool versus alternatives, nor provide exclusions or prerequisites. With no sibling tools, the lack of explicit guidelines is less critical, but it still doesn't offer clear when/when-not instructions.

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