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 explicitly states that tools are listed, never called; that it reads only the named site plus published population figures; that it does not consult the index; and that running it changes no ranking or listing. It also clarifies that could_not_ask is a distinct answer and never reported as a no.

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 dense but well-structured: it front-loads the core action and then adds return-value semantics, safety constraints, and scope. Each sentence contributes meaningful information, though it could be tightened slightly by removing redundant phrasing like 'published population figures'.

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 a single well-documented parameter and no output schema, the description is remarkably complete. It enumerates all possible return values, explains the meaning of the ambiguous 'could_not_ask' result, and states side-effect and scope constraints, giving an agent everything needed to call and interpret 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?

The input schema already describes the single url parameter and its format, including that https is assumed. The description adds general context about checking the site live but does not provide significant additional parameter-level detail. With 100% schema description coverage, baseline 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 opens with a specific verb and resource: 'Check a website LIVE for WebMCP tools' and further specifies whether the tool actually registers when the page runs. It clearly differentiates itself from index-based lookups by stating it does not consult the index, which helps distinguish it from siblings like get_site_report.

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 context: it is for live website checks rather than index consultation, and it explains what happens when robots.txt refuses AI input. However, it does not explicitly mention when to choose this tool over find_capability or get_site_report, nor does it state exclusions.

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