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

With no annotations, the description must carry the full burden of behavioral disclosure. It mentions the cost ($0.05) and that it is AI-generated, but does not disclose how the tool handles invalid URLs, whether it fetches content directly, or any rate limits or side effects. It is not misleading but leaves significant behavioral context unstated.

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 extremely concise, comprising only two short sentences that front-load the core purpose and add the price as an important operational detail. There is no filler or redundant information.

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?

The tool has no output schema and no annotations, but the description only provides a high-level statement of output ('analysis of differences'). It does not clarify the output format, any constraints on webpages, or the role of the 'focus' parameter beyond the schema. For a simple tool with well-described parameters, this is acceptable but leaves some gaps in behavioral context.

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 input schema already provides descriptions for both parameters (urls and focus). The description adds no extra meaning beyond restating '2-3 webpages' for the urls parameter, so it does not improve on the schema's coverage.

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 uses a specific verb ('compare') and resource ('webpages'), and clearly states the AI-generated analysis output. It distinguishes itself from sibling tools like fetch_webpage or extract_data by focusing on comparison of 2-3 webpages and the intended difference analysis.

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 the tool should be used when comparing 2-3 webpages and wanting an analysis of differences. However, it provides no explicit guidance on when not to use it or how it relates to alternatives like smart_extract or fetch_webpage, so the usage context is only implied.

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