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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=false), so the bar is lower; the description usefully adds the return shape (relevant passages plus a canonical URL to cite and a free sample day) and the site-scope behavior. It is silent on result ordering guarantees, pagination, or behavior when nothing matches, which matters given there is no output schema.

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 tight sentences, front-loaded with what the tool does and followed by the return value and the one scope switch. The closing sentence about site=all largely duplicates the schema's site enumeration, which is the only wasted clause.

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?

With four parameters and no output schema, the description carries the return-value burden and does so (passages, citable canonical URLs, free sample day). The main gap is the absence of any routing guidance relative to 'about' and 'fetch', which leaves an agent guessing when a plain fetch would suffice.

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 coverage is 75%, so the schema already documents query, site, intent, and maxResults. The description essentially restates the schema's site description in shortened form and adds nothing about maxResults bounds or what query phrasing works well; this is the expected baseline when the schema does the heavy lifting.

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 states a concrete verb and resource: answer a plain-language question with the most relevant passages from Golf Sim Data's public pages, each with a canonical URL and free sample day. That is specific enough to distinguish it from 'fetch' (which retrieves a specific page) in spirit, but the description never names or contrasts the sibling explicitly.

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?

'Ask a question in plain language' implies the usage pattern, and 'Set site to all to search every Fron Research site' clarifies the cross-site scope. However, there is no explicit when-to-use/when-not guidance and no named alternative telling the agent to prefer 'fetch' once it already knows the URL.

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