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

The annotations already provide readOnlyHint and idempotentHint, so the description does not need to cover safety. It adds useful behavioral context about daily interval aggregation and required date range, but it does not disclose return shape, pagination behavior, or what specific statistics are included, which are relevant given there is no output schema.

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 three short sentences, front-loaded with the core behavior, then a use case, then a requirement. Every sentence earns its place with no redundancy or filler.

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?

For a read-only statistics tool with four well-documented parameters and safe annotations, the description delivers the main behavior and intended use case. It lacks explicit detail about which metrics are returned, but given the tool's name and schema, it is reasonably complete for an agent to select and invoke it correctly.

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 all four parameters and their meanings. The description adds only that both dateFrom and dateTo are required, which is already present in the schema's required array, so it provides minimal additional value.

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 that the tool returns statistics in daily intervals for a date range, using a specific verb and resource. It doesn't explicitly name sibling tools for differentiation, but the 'daily intervals' and 'overview' nature distinguish it from stats_fetch and the breakdown variants.

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 says it is useful for dashboards, graphs, and trend analysis, which implies when to use it. However, it does not explicitly mention alternatives like stats_fetch or the breakdown tools, and it only restates that both dates are required rather than giving deeper usage context.

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