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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and a closed-world scope, so the safety profile is fully covered. The description adds one genuinely useful non-annotation fact: results are scoped to 'data visible to the linked Market Brew account,' which tells the agent about permission-based filtering. However it says nothing about what the metrics contain, granularity, or time semantics.

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, no waste, and front-loaded. But the brevity comes at the cost of substance — the first sentence is pure restatement, so the sentence budget is spent on something the agent already knew from the name.

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, so the description should describe what 'task workload metrics' returns (counts? per-crew breakdown? time series?), and it does not. For a metrics tool with many look-alike siblings and no output schema, this leaves the agent unable to predict the response or confidently choose this tool.

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' parameter's filters (customerId, crewIds, websiteId, serverHost, startDate, endDate) are fully documented in the schema. The description adds no parameter info, so the baseline 3 applies; nothing here compensates or detracts.

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 is essentially a restatement of the tool name and title: 'Use this when the user asks to get task workload metrics.' It does not specify what 'task workload metrics' actually contains or how it differs from close siblings like get_top_task_metrics, get_task_history, or get_flight_plan_metrics. No distinguishing verb or resource detail beyond the name.

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 tautological trigger ('when the user asks to get task workload metrics'), which the agent could already infer from the name. There are several metric-related siblings (get_top_task_metrics, get_search_metrics, get_usage_metrics, get_crawl_metrics) and the description gives no criteria for choosing among them.

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