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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. Because there is no output schema, the description's enumeration of the computed outputs is genuinely additive: it tells the agent the call returns a rich analytic payload (ranks, cumulative seasonal path, extreme days) rather than a single figure, setting expectations about breadth of computation.

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?

A single front-loaded sentence names the scope first ('one month for one asset') and then lists the outputs, with no filler or repetition. The trailing list is dense but each item is a distinct returned statistic, so the length is earned rather than padded.

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 two-parameter, read-only analytics call with no output schema, the description covers the essentials: both inputs are constrained by the schema and the full shape of the response is spelled out. The only material gap is the lack of any statement positioning it against monthly_seasonality, which leaves a selection ambiguity unresolved.

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 50%: the month parameter is documented in the schema ('1-12 or month name') and the asset parameter exposes a closed enum, so the schema carries most of the load. The description reinforces cardinality ('one month for one asset') but adds no format, default, or validity detail beyond the schema, matching the baseline 3.

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 verb+resource and scope: a deep-dive analytics view of one month for one asset, and it enumerates exactly which statistics are produced (average, median, % of years up, rank among 12 months, cumulative path, strongest/weakest days). It does not, however, explicitly distinguish itself from the very similar sibling monthly_seasonality, so the agent must infer the difference from the phrase 'deep dive'.

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?

Usage is only implied by the granularity wording ('one month for one asset'), which suggests calling this when a single-month drill-down is needed rather than the broader monthly_seasonality or seasonal_pattern tools. There is no explicit when-to-use, when-not-to-use, or alternative named, so an agent choosing among the eight siblings gets no routing help.

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