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

Annotations already declare readOnlyHint=true and openWorldHint=true, and the description usefully adds what the results contain (matching terms and questions, estimated volume, difficulty) plus the language support (English or Arabic). For a read-only lookup tool this is solid added context beyond the annotations.

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?

Two tightly written sentences: capability first, then the follow-up workflow. Nothing is padded and the key result attributes are front-loaded.

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?

There is no output schema, but the description compensates by naming the returned fields (terms, questions, volume, difficulty) and the language constraint. Enough for an agent to call it correctly, though it could say more about result ordering or limits.

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 the schema already documents limit, country and keyword, setting the baseline at 3. The description adds meaning the schema lacks: the seed keyword may be English or Arabic, which is not encoded anywhere in the input schema.

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 specific resource and scope: keyword ideas for a seed keyword, sourced from real search queries, covering matching terms and questions with volume and difficulty. That is more than a restated title and lets an agent distinguish it from the analytics-style siblings.

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?

It gives clear context ('use for content planning') and an explicit next step ('then call keyword_overview on the best ones'), which routes the agent through a two-tool workflow. It stops short of stating when NOT to use it over the alternatives, so it is not a full 5.

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