datasets_chrome_extensions_metrics

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

No annotations are provided, so the description must fully convey behavior. It mentions returning 'chart-ready' aggregates and a days enum, but does not explicitly state read-only nature, rate limits, pagination, or data freshness, leaving important behavioral traits undisclosed.

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 concise (two sentences) with front-loaded purpose and essential details (aggregate list, days enum). Every sentence adds value without redundancy.

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?

While the description covers the tool's purpose and parameters, it lacks detail on the return format or structure. With no output schema, the agent may need more info about what 'chart-ready' means and how results are organized, though the tool is relatively simple.

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 100% with parameter descriptions, but the description adds meaningful context by naming the aggregate categories (coverage, adoption, rating, etc.) and noting 'chart-ready' output, which helps interpret the parameters beyond the raw 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 clearly states 'Get Chrome Web Store dataset metrics' with a specific verb and resource, and lists the types of aggregates (coverage, adoption, rating, permission, privacy, recent-change) which distinguishes it from sibling tools like search, item, changes, facets, history, and trending.

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 does not provide explicit guidance on when to use this tool over alternatives (e.g., for aggregated metrics vs. searching or retrieving individual items). It implies use for metrics but lacks direct comparison or context for selection.

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