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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is covered. The description adds one genuinely new fact — that results are scoped to the linked Market Brew account — which is useful authorization context. Beyond that it says nothing about return shape, pagination, or metric definitions.

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 short sentences with no padding, but the first sentence is pure tautology and carries no information, so the brevity comes at the cost of substance rather than from efficient density.

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 no output schema, the description should explain what the metrics actually are and what a caller receives, which it does not. Annotations cover safety and the schema covers the filter object, so the basics are present, but an agent cannot tell what data comes back or how it relates to the sibling metrics endpoints.

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%, and the single 'query' object parameter already documents the supported filters (customerId, crewIds, websiteId, serverHost, startDate, endDate). The description adds no syntax, format, or defaulting information beyond the schema, so the baseline of 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?

The description restates the tool name almost verbatim: 'Use this when the user asks to get Ranking Sensor metrics.' It gives no indication of what 'Ranking Sensor metrics' actually contain or how this differs from the many sibling metric tools (get_search_metrics, get_task_metrics, get_crawl_metrics). This is effectively a tautology.

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 only guidance is a circular trigger condition that simply echoes the tool name. There is no statement of when to prefer this over sibling metrics tools, no prerequisites, and no exclusion criteria.

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