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

With no annotations provided, the description carries the behavioral disclosure burden. It discloses that the tool fetches an external URL, analyzes it, and stores results for cross-session persistence. This is meaningful behavioral context beyond the schema, though it does not address potential failures, permissions, or rate limits.

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?

Three sentences with no wasted words. The description front-loads the core action and outputs, then adds storage behavior and usage guidance. Every sentence contributes useful 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 description covers what it does, what it extracts, storage behavior, and when to use it. With no output schema, it does not detail the exact return format, but the listed extraction categories and persistence note give an agent enough context to call it 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% and the single 'url' parameter is already described with the protocol requirement. The tool description adds no additional parameter meaning beyond referring to a website URL, 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 uses a specific verb-plus-resource structure: 'Fetch and analyze a website URL,' and enumerates concrete outputs (tracking scripts, product/pricing signals, value proposition, social proof, landing page quality). This clearly distinguishes it from the many creation and retrieval sibling tools.

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 explicit context: 'Use as the first step in onboarding to understand a user's business.' It does not state alternative tools or when not to use it, but no sibling tool appears to compete with this website analysis purpose, so the guidance is clear enough.

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