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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond that – no mention that it returns prefix completions rather than result documents, nor any latency/caching behavior relevant to the nocache parameter.

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 only four words and front-loaded, but this is under-specification rather than conciseness. No sentence is wasted because there is barely a sentence, yet it leaves the tool's role ambiguous.

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 is low-complexity, has an output schema, and full parameter documentation, so an agent can invoke it correctly by supplying q. The remaining gap is descriptive, not operational: it never clarifies that results are autocomplete suggestions, not search results.

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%, so every parameter (q, lang, count, country, nocache) is already documented in the schema, including defaults and clamping. The description adds no parameter meaning beyond that, so baseline 3 applies.

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?

"Google query suggestions" essentially restates the tool name without adding a verb or scope. It hints at the resource (search-query autocomplete) but an agent gets no more information than the identifier google_suggest already implies.

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?

No when-to-use, when-not-to-use, or alternative is named, despite numerous sibling suggest tools (bing_suggest, brave_suggest, youtube_search, google_news_search). The agent must infer that this is for query autocompletion rather than real search results.

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