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

Annotations already declare readOnly, idempotent, open-world, and non-destructive, so the safety profile is covered. The description usefully adds what the results contain (titles, URLs, snippets), but says nothing about rate limits, result caps, or ranking behavior.

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?

A single front-loaded sentence with the resource and return fields stated first and the use-case caveat trailing. No wasted wording.

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?

No output schema exists, so the description's mention of titles/URLs/snippets is helpful, but the undocumented limit parameter and absent query-syntax guidance leave gaps an agent needs 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?

With 0% schema description coverage and two parameters, the description must carry the load. It implies 'q' is a full-text query but never defines it, and the 'limit' parameter (1-10) is entirely unaddressed, leaving half the parameters undocumented.

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?

States a specific verb and resource ('Wikipedia full-text search') and enumerates the return content (titles, URLs, snippets). This clearly differentiates it from siblings like book_search, company_profile, and geocode.

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 phrase 'for grounding after the Bing Search API retirement' gives a use-case context, but there is no explicit when-to-use/when-not guidance and no comparison to the closest sibling, book_search. Usage is implied rather than stated.

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